Bogdan M. Wilamowski

发表

Speaker verification for security systems using artificial neural networks

K. Vieira, Bogdan M. Wilamowski, R. Kubichek, 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

Random weights search in compressed neural networks using overdetermined pseudoinverse

Milos Manic, Bogdan M. Wilamowski, 2003, 2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692).

Noise in Semiconductor Devices

Bogdan M. Wilamowski, Alicja Konczakowska, 2011 .

A logic hazard cover algorithm

Bogdan M. Wilamowski, R. S. Sandige, 1997 .

The Transmission Control Protocol

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2005, The Industrial Information Technology Handbook.

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation

Bogdan M. Wilamowski, Jaroslaw Bilski, 2017, ICAISC.

Grade Watch The Software Package Displaying On Web Pages Students Grades

Bogdan M. Wilamowski, Aleksander Malinowski, 2000 .

Analog implementation of pulse-coupled neural networks

Bogdan M. Wilamowski, Yasuhiro Ota, 1999, IEEE Trans. Neural Networks.

CMOS architecture of synchronous pulse-coupled neural network and its application to image processing

Bogdan M. Wilamowski, Y. Ota, B. Wilamowski, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Industrial Communication Systems

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

Internet as a new graphical user interface for the SPICE circuit simulator

Bogdan M. Wilamowski, Aleksander Malinowski, John Regnier, 2001, IEEE Trans. Ind. Electron..

A low voltage to high voltage level shifter circuit for MEMS application

Bogdan M. Wilamowski, D. Pan, H. W. Li, 2003, Proceedings of the 15th Biennial University/Government/ Industry Microelectronics Symposium (Cat. No.03CH37488).

Performance analysis of IES journals using internet and text processing robots

Bogdan M. Wilamowski, Jiao Yu, Parameshwaran Gnanachchelvi, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Establishment of a sliding mode in a nonlinear system by tuning the parameters of a fuzzy controller

Okyay Kaynak, Bogdan M. Wilamowski, Mehmet Önder Efe, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures

Janusz Kolbusz, Bogdan M. Wilamowski, Tomasz Bartczak, 2015, ICAISC.

Neural Network Training with Second Order Algorithms

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2012 .

Compensation of Sensors Nonlinearity with Neural Networks

Bogdan M. Wilamowski, Nicholas J. Cotton, B. Wilamowski, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

An Incremental Design of Radial Basis Function Networks

Hao Yu, Bogdan M. Wilamowski, Tomasz Bartczak, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Neural Network Architectures

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Control and Mechatronics

Bogdan M. Wilamowski, J. David Irwin, 2011 .

Neural Networks and Fuzzy Systems

Bogdan M. Wilamowski, B. Wilamowski, 2018, Microelectronics.

IEEE INDUSTRIAL ELECTRONICS SOCIETY Officers

Seta Bogosyan, K. Al-Haddad, Marco Liserre, 2010 .

A Fractional Powers-Of-Two Number System For Digital Neural Networks

R. S. Sandige, Bogdan M. Wilamowski, J. J. Cupal, 1996 .

A Simplistic Approach to the Analysis of Transistor Amplifiers

Bogdan M. Wilamowski, J. David Irwin, 2011 .

Selection of Proper Neural Network Sizes and Architectures—A Comparative Study

Hao Yu, Janusz Kolbusz, Bogdan M. Wilamowski, 2012, IEEE Transactions on Industrial Informatics.

Oil well diagnosis by sensing terminal characteristics of the induction motor

Okyay Kaynak, Bogdan M. Wilamowski, O. Kaynak, 2000, IEEE Trans. Ind. Electron..

Neural Network Trainer through Computer Networks

Hao Yu, Bogdan M. Wilamowski, Nam Pham, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

A robust on-line learning algorithm for intelligent control systems

Xinghuo Yu, Okyay Kaynak, Mehmet Önder Efe, 2003 .

Comparison of Fuzzy and Neural Systems for Implementation of Nonlinear Control Surfaces

Bogdan M. Wilamowski, T. T. Xie, H. Yu, 2012 .

Adaptive integratable hardware realization of analog neural networks for nonlinear system

Ruixin Wang, Foster F. Dai, Bogdan M. Wilamowski, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Radial basis function neural networks in variable structure control of a class of biochemical processes

Xinghuo Yu, Okyay Kaynak, Mehmet Önder Efe, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

Cmos Implementation of a voltage-Mode Fuzzy Min-Max Controller

Bogdan M. Wilamowski, Yasuhiro Ota, 1996, J. Circuits Syst. Comput..

Bipolar pattern association using a recurrent winner take all network

Bogdan M. Wilamowski, J. E. McInroy, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Advantage analysis of sigmoid based RBF networks

Bogdan M. Wilamowski, Xing Wu, 2013, 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES).

Understanding Neural Networks

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Implementation of RBF type networks by MLP networks

Bogdan M. Wilamowski, Richard C. Jaeger, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Cubic spline as an alternative to methods of machine learning

Bogdan M. Wilamowski, Jordan Richardson, Philip D. Reiner, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Network Traffic Model for Industrial Environment

Janusz Kolbusz, Stanislaw Paszczynski, Bogdan M. Wilamowski, 2005, IEEE Transactions on Industrial Informatics.

Speaker identification based on a modified Kohonen network

K. Vieira, Bogdan M. Wilamowski, R. Kubichek, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Modification of the Backpropagation Algorithm for Faster Convergence

Bogdan M. Wilamowski, Lisa M. Torvik, 1993 .

Major challenges of IEEE Transactions on Industrial Electronics [My View]

Bogdan M. Wilamowski, B. Wilamowski, 2007 .

Transmission Control Protocol (TCP)

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2021, RFC.

Single-DC-source 7-level CHB inverter with multicarrier level-shifted PWM

Hani Vahedi, Kamal Al-Haddad, Bogdan M. Wilamowski, 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

Effective Training of RBF Networks

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rozycki, 2019, 2019 12th International Conference on Human System Interaction (HSI).

Spice Based Circuit Analysis Using Web Pages

Bogdan M. Wilamowski, Aleksander Malinowski, John Regnier, 2000 .

A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning

Bogdan M. Wilamowski, Xing Wu, Pawel Rózycki, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Intelligent Systems

Bogdan M. Wilamowski, J. David Irwin, 2011 .

Neuro-Fuzzy System

Hao Yu, Bogdan M. Wilamowski, Tiantian Xie, 2011, IEEE International Conference on Intelligent Systems.

Paper collection and evaluation through the Internet

Bogdan M. Wilamowski, Aleksander Malinowski, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

Efficient Determination of Copper Electroplating Chemistry Additives

Michael C. Hamilton, Bogdan M. Wilamowski, Charles D. Ellis, 2014, IEEE Transactions on Components, Packaging and Manufacturing Technology.

Nonlinear System Modeling Using RBF Networks for Industrial Application

Bogdan M. Wilamowski, Xi Meng, Jun-Fei Qiao, 2018, IEEE Transactions on Industrial Informatics.

Network traffic model for industrial environment

Bogdan M. Wilamowski, J. Kolbusz, S. Paszczynskr, 2005 .

Advantages and problems of soft computing

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 9th IEEE International Conference on Industrial Informatics.

Special neural network architectures for easy electronic implementations

Bogdan M. Wilamowski, B. Wilamowski, 2009, 2009 International Conference on Power Engineering, Energy and Electrical Drives.

Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement

Günhan Dündar, Bogdan M. Wilamowski, Joel D. Hewlett, 2008, IEEE Transactions on Industrial Electronics.

Neural Networks or Fuzzy Systems

Bogdan M. Wilamowski, B. Wilamowski, 2009 .

Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training

Bogdan M. Wilamowski, Shumin Wang, Michael S. Pukish, 2013, 2013 6th International Conference on Human System Interactions (HSI).

Neural network architectures and learning

Bogdan M. Wilamowski, 2003, IEEE International Conference on Industrial Technology, 2003.

Design of Network Based Software

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Message From the Incoming Editor-in-Chief

Bogdan M. Wilamowski, 2007 .

Analog Filter Synthesis

Bogdan M. Wilamowski, Nam Pham, 2011 .

The Industrial Electronics Handbook - Five Volume Set

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

User Datagram Protocol—UDP

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2011 .

A ladder prototype synthesis algorithm

Bogdan M. Wilamowski, R. D. Koller, 1992, [1992] Proceedings of the 35th Midwest Symposium on Circuits and Systems.

Running Software over Internet

Bogdan M. Wilamowski, Aleksander Malinowski, Nam Pham, 2011 .

Can computers be more intelligent than humans?

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 4th International Conference on Human System Interactions, HSI 2011.

IEEE Transactions on Industrial Electronics

Ramesh C. Bansal, Bogdan M. Wilamowski, Emil Levi, 2009 .

Comparison of training algorithms and network architectures

Bogdan M. Wilamowski, 2013, 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES).

Automatic Data Mining on Internet by Using PERL Scripting Language

Bogdan M. Wilamowski, Nam Pham, 2011 .

DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization

Bo Wu, Bogdan M. Wilamowski, R. M. Nelms, 2019, J. Vis..

A 1D numerical model for rapid stress analysis in bipolar junction transistors

Michael C. Hamilton, Bogdan M. Wilamowski, Jeffrey C. Suhling, 2016 .

Designing Passive Filters with Lossy Elements

Bogdan M. Wilamowski, Marcin Jagiela, 2011 .

Levenberg—Marquardt Training

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2011 .

PolyNet: A Polynomial-Based Learning Machine for Universal Approximation

Bogdan M. Wilamowski, Pawel Rózycki, Michael S. Pukish, 2015, IEEE Transactions on Industrial Informatics.

Constructive Cascade Learning Algorithm for Fully Connected Networks

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2019, ICAISC.

An improved English to Chinese translation of technical text

Zhitao Gong, Ruixin Wang, Bo Wu, 2015, 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).

An algorithm for fast convergence in training neural networks

Okyay Kaynak, Mehmet Önder Efe, Bogdan M. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

C++ implementation of neural networks trainer

Bogdan M. Wilamowski, Hao Yu, 2009, 2009 International Conference on Intelligent Engineering Systems.

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies

Pierluigi Siano, Janusz Kolbusz, Carlo Cecati, 2015, IEEE Transactions on Industrial Electronics.

Computer networks as human system interface

Bogdan M. Wilamowski, Nam Pham, A. Malimowski, 2010, 3rd International Conference on Human System Interaction.

A novel modular RBF neural network based on a brain-like partition method

Wen-Jing Li, Bogdan M. Wilamowski, Xi Meng, 2018, Neural Computing and Applications.

Identifying cutting sound characteristics in machine tool industry with a neural network

Bogdan M. Wilamowski, Y. Ota, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Human factor and computational intelligence limitations in resilient control systems

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 3rd International Symposium on Resilient Control Systems.

Fast and Efficient Second-Order Method for Training Radial Basis Function Networks

Hao Yu, Bogdan M. Wilamowski, Tiantian Xie, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Modified relaxation method for solution of continuous recurrent neural networks

Bogdan M. Wilamowski, S. M. Kanarowski, 1993, Proceedings of 36th Midwest Symposium on Circuits and Systems.

Refining the Intelligence with a Task Specific Error Measure

Okyay Kaynak, Bogdan M. Wilamowski, Mehmet Önder Efe, 2002 .

Modified EBP algorithm with instant training of the hidden layer

Bogdan M. Wilamowski, 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

An efficient grid-based clustering method by finding density peaks

Bo Wu, Bogdan M. Wilamowski, B. Wilamowski, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Fuzzy-based NC application in machine tools with efficient analog CMOS circuits

Bogdan M. Wilamowski, Y. Ota, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

IEEE COMPUTATIONAL INTELLIGENCE SOCIETY 2004 Administrative Committee

Robert J. Marks, Vincenzo Piuri, David B. Fogel, 2004 .

Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization

Xing Wu, Bogdan M. Wilamowski, Pawel Rózycki, 2016, ICAISC.

Simple Way Of Teaching Transistor Amplifiers

Bogdan M. Wilamowski, 2000 .

Introduction to the Special Section on Intelligent Systems

Milos Manic, Honghai Liu, Bogdan M. Wilamowski, 2012, IEEE transactions on industrial electronics (1982. Print).

Efficient neural network architectures and Advanced training algorithms

Bogdan M. Wilamowski, 2010 .

Using neural networks to predict abnormal returns of quarterly earnings

Bogdan M. Wilamowski, Alan M. Safer, B. Wilamowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Spatial to temporal conversion of images using a pulse-coupled neural network

Bogdan M. Wilamowski, Eric L. Brown, B. Wilamowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A synchronous high-speed, high-accuracy, loser-take-all circuit

Bogdan M. Wilamowski, Don L. Jordan, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Novel inductorless neuristor line

M. Bialko, Bogdan M. Wilamowski, Z. Czarnul, 1975 .

SIP-Spice Intranet Package

Bogdan M. Wilamowski, Aleksander Malinowski, J. Regnier, 1998, IEEE International Symposium on Industrial Electronics. Proceedings. ISIE'98 (Cat. No.98TH8357).

Robotics and Vision

Josep M. Guerrero, Weiliang Xu, Kouhei Ohnishi, 2005 .

Creating a sliding mode in a motion control system by adopting a dynamic defuzzification strategy in an adaptive neuro fuzzy inference system

Okyay Kaynak, Mehmet Önder Efe, Bogdan M. Wilamowski, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Neural Network Training With Levenberg–Marquardt and Adaptable Weight Compression

Bo Wu, Bogdan M. Wilamowski, James S. Smith, 2019, IEEE Transactions on Neural Networks and Learning Systems.

How to not get frustrated with neural networks

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 IEEE International Conference on Industrial Technology.

The User Datagram protocol

Bogdan M. Wilamowski, Aleksander Malinowski, 2005, The Industrial Information Technology Handbook.

State-Space Approach to Simulating Dynamic Systems in SPICE

Bogdan M. Wilamowski, J. Hewlett, 2011 .

Computational Intelligence for Nonlinear Systems

Bogdan M. Wilamowski, 2006 .

IEEE Transactions on Industrial Electronics CALL FOR PAPERS

Fa Foster Dai, Bogdan M. Wilamowski, Sandra McLain, 2009 .

Fabrication and control of an electrostatically levitated rotating gyro

Bogdan M. Wilamowski, Charles D. Ellis, B. Wilamowski, 2008, SPIE Defense + Commercial Sensing.

Implementation of Deep Neural Networks for Industry Applications

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

A VLSI implementation of mixed-signal mode bipolar neuron circuitry

Bogdan M. Wilamowski, Dong Pan, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm

Janusz Kolbusz, Bogdan M. Wilamowski, Zhan Su, 2016, IEEE Transactions on Industrial Electronics.

An electrical network approach to the analysis of semiconductor devices

Bogdan M. Wilamowski, R. H. Mattson, Z. J. Staszak, 1992 .

Improved Computation for Levenberg–Marquardt Training

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2010, IEEE Transactions on Neural Networks.

FOC: Field-Oriented Control

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

IECON 2012 - The Event of the Year: A Mega IES Conference with 1,040 Participants [Society News]

Kamal Al-Haddad, Bogdan M. Wilamowski, 2013 .

Predictive Control of Power Electronics Drives

Ralph Kennel, Bogdan M. Wilamowski, Jose Rodriguez, 2008 .

Neuro-fuzzy systems and their applications

Bogdan M. Wilamowski, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

Soft Computing in Hardware Implementations

Okyay Kaynak, Bogdan M. Wilamowski, O. Kaynak, 2003 .

Power Electronics and Motor Drives

Bogdan M. Wilamowski, J. David Irwin, 2011 .

Challenges in applications of computational intelligence in industrial electronics

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 IEEE International Symposium on Industrial Electronics.

Personal computer support for teaching analog filter analysis and design

Bogdan M. Wilamowski, S. F. Legowski, Steadman Jw, 1992 .

VLSI Implementation of Neural Networks

Okyay Kaynak, Bogdan M. Wilamowski, J. Binfet, 2000, Int. J. Neural Syst..

Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks

Okyay Kaynak, Günhan Dündar, Bogdan M. Wilamowski, 2008, IEEE Transactions on Industrial Electronics.

Efficient algorithm for training neural networks with one hidden layer

Yixin Chen, Bogdan M. Wilamowski, Aleksander Malinowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Fundamentals of Industrial Electronics

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

Welcome Message from the General Chairs

Imre J. Rudas, Bogdan M. Wilamowski, 2008 .

Microprocessor implementation of fuzzy systems and neural networks

Bogdan M. Wilamowski, J. Binfet, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Robust algorithm for neural network training

Milos Manic, Bogdan M. Wilamowski, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Low Power Current Mode Loser-Take-All Circuit for Image Compression

Okyay Kaynak, Bogdan M. Wilamowski, D. L. Jordan, 2000 .

Internet technology as a tool for solving engineering problems

Bogdan M. Wilamowski, Aleksander Malinowski, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

IEEE article data extraction from internet.

Bogdan M. Wilamowski, Nam Pham, 2009, 2009 International Conference on Intelligent Engineering Systems.

Analog VLSI hardware for fuzzy systems

Bogdan M. Wilamowski, B. Wilamowski, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

Differential amplifiers with enhanced linearity and temperature compensation

Bogdan M. Wilamowski, Zhan Su, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Robust neural network training using partial gradient probing

Milos Manic, Bogdan M. Wilamowski, 2003, IEEE International Conference on Industrial Informatics, 2003. INDIN 2003. Proceedings..

Implementing a fuzzy system on a field programmable gate array

Bogdan M. Wilamowski, M. McKenna, B. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Parallel Learning of Feedforward Neural Networks Without Error Backpropagation

Bogdan M. Wilamowski, Jaroslaw Bilski, 2016, ICAISC.

Approximation-based Estimation of Learning Rate for Error Back Propagation Algorithm

Janusz Kolbusz, Bogdan M. Wilamowski, Grzegorz Krzos, 2019, 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).

Improvement of RBF Training by Removing of Selected Pattern

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2017, ICAISC.

A Greedy Incremental Algorithm for Universal Approximation with RBF Newtorks

Bogdan M. Wilamowski, Xing Wu, 2014 .

Nelder-mead enhanced extreme learning machine

Bogdan M. Wilamowski, Philip D. Reiner, Philip Reiner, 2013, 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES).

Static Induction Devices

Bogdan M. Wilamowski, 2018 .

Neural Networks Saturation Reduction

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2018, ICAISC.

Modeling of Complex Multidimensional Nonlinear Systems Using Neural System with Deep Architectures

Janusz Korniak, Bogdan M. Wilamowski, B. Wilamowski, 2014 .

Buried-channel MOS transistor with punch-through

Bogdan M. Wilamowski, Richard C. Jaeger, James N. Fordemwalt, 1984 .

Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks

Bogdan M. Wilamowski, James S. Smith, 2018, ICAISC.

Internet based neural network online simulation tool

Milos Manic, Bogdan M. Wilamowski, Aleksander Malinowski, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

How Not to Be Frustrated with Neural Networks

Bogdan M. Wilamowski, B. Wilamowski, 2009 .

CMOS implementation of a pulse-coupled neuron cell

Bogdan M. Wilamowski, Richard C. Jaeger, M. L. Padgett, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Welcome to HSI 2011

Hiroyasu Koshimizu, Bogdan M. Wilamowski, 2011 .

Gate-controlled punch through transistor

Bogdan M. Wilamowski, Xiangli Li, Huadian Pan, 2003, Proceedings of the 15th Biennial University/Government/ Industry Microelectronics Symposium (Cat. No.03CH37488).

Solving parity-N problems with feedforward neural networks

Bogdan M. Wilamowski, Aleksander Malinowski, D. Hunter, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2017, ICAISC.

A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise

Bo Wu, Bogdan M. Wilamowski, B. Wilamowski, 2017, IEEE Transactions on Industrial Informatics.

Laboratory For The Introductory Digital Course

Bogdan M. Wilamowski, Michael McKenna, Otto Fucik, 2000 .

Learning architectures with enhanced capabilities and easier training

Janusz Korniak, Bogdan M. Wilamowski, B. Wilamowski, 2015, 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).

Neural Network Learning Without Backpropagation

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2010, IEEE Transactions on Neural Networks.

Fuzzy preference approach for computer network attack detection

Milos Manic, Bogdan M. Wilamowski, B. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Efficient incremental construction of RBF networks using quasi-gradient method

Bogdan M. Wilamowski, Philip D. Reiner, B. Wilamowski, 2015, Neurocomputing.

Methods of Computational Intelligence for Nonlinear Control Systems

Bogdan M. Wilamowski, B. Wilamowski, 2005 .

Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems

Janusz Korniak, Bogdan M. Wilamowski, Jordan Richardson, 2016, IEEE Transactions on Industrial Informatics.

Active Filter Implementation

Bogdan M. Wilamowski, Steadman Jw, Nam Pham, 2011, Fundamentals of Industrial Electronics.

Welcome to the IEEE Transactions on Industrial Informatics, a New Journal of the Industrial Electronics Society

Bogdan M. Wilamowski, 2005 .

Fuzzy system based maximum power point tracking for PV system

Xiangli Li, Bogdan M. Wilamowski, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Parity- N Problems as a Vehicle to Compare Efficiencies of Neural Network Architectures

Hao Yu, Bogdan M. Wilamowski, Kun Tao Chung, 2011 .

SPICE simulation and analysis through Internet and Intranet networks

Bogdan M. Wilamowski, J. Regnier, 1998 .

Recent advances in in-vehicle embedded systems

Bogdan M. Wilamowski, Jiao Yu, B. Wilamowski, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Towards the robustness in neural network training

Milos Manic, Bogdan M. Wilamowski, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Advanced learning algorithms

Bogdan M. Wilamowski, B. Wilamowski, 2009, 2009 International Conference on Intelligent Engineering Systems.

Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation

Janusz Korniak, Bogdan M. Wilamowski, Angelika Olejczak, 2017, ICAISC.

A Tunable CMOS Resistor with Wide Tuning Range for Low Pass Filter Application

Bogdan M. Wilamowski, Desheng Ma, Foster Fa Dai, 2009, 2009 IEEE Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems.

Neuro-fuzzy architecture for CMOS implementation

Okyay Kaynak, Bogdan M. Wilamowski, Richard C. Jaeger, 1999, IEEE Trans. Ind. Electron..

Security assessment using neural computing

Bogdan M. Wilamowski, Badrul H. Chowdhury, 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

Steepest descent retrieval algorithm for autoassociative neural memory

Jacek M. Zurada, Bogdan M. Wilamowski, Aleksander Malinowski, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Stable training of computationally intelligent systems by using variable structure systems technique

Okyay Kaynak, Bogdan M. Wilamowski, Mehmet Önder Efe, 2000, IEEE Trans. Ind. Electron..

Soft Patterns Reduction for RBF Network Performance Improvement

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2018, ICAISC.

Error Back Propagation Algorithm with Adaptive Learning Rate

Janusz Kolbusz, Bogdan M. Wilamowski, Oleksandr Lysenko, 2019, 2019 International Conference on Information and Digital Technologies (IDT).

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2016, ICAISC.

Precise interception of a maneuvering target by a missile

Okyay Kaynak, Bogdan M. Wilamowski, Mehmet Önder Efe, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers

Bogdan M. Wilamowski, Nicholas J. Cotton, B. Wilamowski, 2011, IEEE Transactions on Industrial Electronics.

Multilevel logic multiplier using VLSI neural network

Xiangli Li, Bogdan M. Wilamowski, Milos Manic, 2003, IEEE International Conference on Industrial Technology, 2003.

Advantages of Radial Basis Function Networks for Dynamic System Design

Hao Yu, Stanislaw Paszczynski, Bogdan M. Wilamowski, 2011, IEEE Transactions on Industrial Electronics.

Efficient and reliable training of neural networks

Bogdan M. Wilamowski, Hao Yu, B. Wilamowski, 2009, 2009 2nd Conference on Human System Interactions.

Neural Networks Learning

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Fuzzy-based NC application in machine tools with efficient analog CMOS circuits

Bogdan M. Wilamowski, Y. Ota, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Static Induction Logic-A Simple Structure with Very Low Switching Energy and Very High Packing Density

Bogdan M. Wilamowski, Jun-ichi Nishizawa, 1977 .

Interpretation of exponential type drain characteristics of the static induction transistor

Bogdan M. Wilamowski, Piotr Płotka, 1980 .

Current-Mode CMOS Implementation of a Fuzzy Min-Max Network

Bogdan M. Wilamowski, Yasuhiro Ota, 2000 .

VLSI implementation of cross-coupled MOS resistor circuits

Bogdan M. Wilamowski, Phuoc T. Tran, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

The Punch‐Through Transistor with MOS Controled Gate

Bogdan M. Wilamowski, 1983 .

Multi dimensional second order defuzzification algorithm (M-SODA)

Okyay Kaynak, Bogdan M. Wilamowski, N. Dharia, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Neural network forecasting for airlines: A comparative analysis

Bogdan M. Wilamowski, Larry Weatherford, B. Wilamowski, 2003 .

招待講演:Invited High Speed, High Voltage, and Energy EFFicient Static Induction Devices (第12回 SIデバイスシンポジウム講演論文集)

Bogdan M. Wilamowski, 1999 .

Training of fuzzy inference systems by combining variable structure systems technique and Levenberg-Marquardt algorithm

Okyay Kaynak, Bogdan M. Wilamowski, Mehmet Önder Efe, 1999, IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029).

Compiling Computer Programs Through Internet

Bogdan M. Wilamowski, Aleksander Malinowski, 2000 .

Temperature properties of the static induction transistor

Bogdan M. Wilamowski, Piotr Płotka, 1981 .

A radiation-hard phase-locked loop

Bogdan M. Wilamowski, B. Wilamowski, Dong Pan, 2003, 2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692).

Evaluation of Die Stress Using van der Pauw Sensors

Bogdan M. Wilamowski, Richard C. Jaeger, Jeffrey C. Suhling, 1997 .

Improved nelder mead's simplex method and applications

Bogdan M. Wilamowski, B. Wilamowski, Nam Dinh Pham, 2012 .

Fuzzy controller with second order defuzzification algorithm

Okyay Kaynak, Bogdan M. Wilamowski, O. Kaynak, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Adaptive Neural Networks in Regulation of River Flows

Bogdan M. Wilamowski, B. Wilamowski, J. Mohan Reddy, 2000 .

High Speed , High Voltage , and Energy Efficient Static Induction Devices

Bogdan M. Wilamowski, B. Wilamowski, 2000 .

Design and Calibration of Optimized (111) Silicon Stress Sensing Test Chips

Bogdan M. Wilamowski, Richard C. Jaeger, Jeffrey C. Suhling, 1997 .

VLSI analog multiplier/divider circuit

Bogdan M. Wilamowski, 1998, IEEE International Symposium on Industrial Electronics. Proceedings. ISIE'98 (Cat. No.98TH8357).