Tae-Chon Ahn

发表

The refinement of models with the aid of the fuzzy k-nearest neighbors approach

Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn, 2010, IEEE Transactions on Instrumentation and Measurement.

A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2006, ISNN.

Hybrid Multi-layer Perceptron with Fuzzy Set-based PNs with the Aid of Symbolic Coding Genetic Algorithms

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2005 .

Fuzzy Combined Polynomial Neural Networks

Seok-Beom Roh, Tae-Chon Ahn, 2007, KES.

Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2003, RSFDGrC.

Application of Fuzzy-PID Controller Based on Genetic Algorithm for Speed Control of Induction Motors

Tae-Chon Ahn, Yangwon Kwon, Jongkyu. Park, 1999 .

The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach

Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn, 2010, Fuzzy Sets Syst..

Design of neuro-fuzzy controller on DSP for real-time control of induction motors

Witold Pedrycz, Hyung-Soo Hwang, Tae-Chon Ahn, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Design of a hybrid fuzzy controller with the optimal auto-tuning method

Sung-Kwun Oh, Hyung-Soo Hwang, Tae-Chon Ahn, 1995 .

A New Digital Color Management Approach for Dye Manufacturing Process in Textile Field with Image Processing and Intelligent Algorithm

Kyung-Won Jang, Tae-Chon Ahn, Dong-yoon Lee, 2002 .

Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2005, ISNN.

Optimization of Recurrent Fuzzy Neural Networks for Time Series Prediction

Seok-Beom Roh, Tae-Chon Ahn, Jihong Wang, 2016 .

Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2005, Australian Conference on Artificial Intelligence.

Estimation of Frequencies of Multiple Sinusoids from a Data Based Covariance Matrix

Tae-Chon Ahn, 1989 .

Data Pattern Estimation with Movement of the Center of Gravity

Kyung-Won Jang, Tae-Chon Ahn, Dong-Du Shin, 2006, Int. J. Fuzzy Log. Intell. Syst..

The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System

Tae-Chon Ahn, Zhong-Xian Wang, Jueng-je Yang, 2006, KES.

Intuitionistic Fuzzy Subgroups and Level Subgroups

Kyung-Won Jang, Tae-Chon Ahn, Kul Hur, 2006, Int. J. Fuzzy Log. Intell. Syst..

An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation

Seok-Beom Roh, Hyung-Soo Hwang, Tae-Chon Ahn, 2006, ICONIP.

Feature Selection of Fuzzy Pattern Classifier by using Fuzzy Mapping

Seok-Beom Roh, Tae-Chon Ahn, Yong Soo Kim, 2014 .

A New Fuzzy Modeling By Independence Array

Sung-Kwun Oh, Tae-Chon Ahn, Jongkyu. Park, 1999 .

Image Encryption Technique Based on Wavelet Transform

Tae-Chon Ahn, Yong Soo Kim, Hui-Hui Shen, 2018 .

Software quality knowledge discovery: a rough set approach

Tae-Chon Ahn, James F. Peters, Sheela Ramanna, 2002, Proceedings 26th Annual International Computer Software and Applications.

Optimal Fuzzy Models with the Aid of SAHN-based Algorithm

Kyung-Won Jang, Tae-Chon Ahn, Jong-Seok Lee, 2006, Int. J. Fuzzy Log. Intell. Syst..

Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation

Sung-Kwun Oh, Tae-Chon Ahn, Yong-Soo Kim, 2005, IWANN.

Fuzzy linear regression based on Polynomial Neural Networks

Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn, 2012, Expert Syst. Appl..

A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis

Sung-Kwun Oh, Tae-Chon Ahn, Ho-Sung Park, 2006, ISNN.

The Design of Pattern Classification based on Fuzzy Combined Polynomial Neural Network

Kyung-Won Jang, Tae-Chon Ahn, Seok-Beom Rho, 2014 .

A new approach of Fuzzy Inference System with the aid of SAHN based algorithm

Sung-Kwun Oh, Kyung-Won Jang, Tae-Chon Ahn, 2005 .

Self-organizing neural networks with fuzzy polynomial neurons

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2002, Appl. Soft Comput..

Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm

Sung-Kwun Oh, Tae-Chon Ahn, Ho-Sung Park, 2006, IEA/AIE.

FPN과 PN의 합성에 의한 IG_gHSOFPNN의 새로운 구조

Tae-Chon Ahn, Ho-Sung Park, Sun-Kwun Oh, 2006 .

Optimization of Fuzzy Learning Machine by Using Particle Swarm Optimization

Seok-Beom Roh, Tae-Chon Ahn, Yong-Soo Kim, 2016 .

Design of Fuzzy Pattern Classifier based on Extreme Learning Machine

Tae-Chon Ahn, Jihong Wang, Yong Soo Kim, 2015 .

Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms

Seok-Beom Roh, Kyung-Won Jang, Tae-Chon Ahn, 2006, KES.

The Optimization of Fuzzy Prototype Classifier by using Differential Evolutionary Algorithm

Seok-Beom Roh, Tae-Chon Ahn, Yong Soo Kim, 2014 .

Fuzzy Control of Elevator Speed Pattern

Tae-Chon Ahn, Yang-Woong Yoon, Jin-Hyun Kang, 2004 .

A Fuzzy Model on the PNN Structure and its Applications

Tae-Chon Ahn, R. S. Sang, SungKwun Oh, 1997 .

A Study on optimal tuning method of hybrid Controller

Sung-Kwun Oh, Tae-Chon Ahn, Kwang-bang Woo, 1992 .

Parameter estimation of fuzzy controller and its application to inverted pendulum

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, 2004, Eng. Appl. Artif. Intell..

Evolutionary design of Self-Organizing Fuzzy Polynomial Neural Networks for modeling and prediction of NOx emission process

Sung-Kwun Oh, Kyung-Won Jang, Tae-Chon Ahn, 2006, 2006 SICE-ICASE International Joint Conference.

A New Architecture of Genetically Optimized Self-Organizing Fuzzy Polynomial Neural Networks by Means of Information Granulation

Sung-Kwun Oh, Tae-Chon Ahn, Ho-Sung Park, 2005 .

An approach to Design a Fuzzy PI controller in HVDC system

Tae-Chon Ahn, Seok-Beom Rho, Zhong-xian Wang, 2005 .

Hybrid Induction Motor Using a Genetically Optimized Pseudo-on-line Method

Tae-Chon Ahn, Kyung-Won Jang, Jong-seok Lee, 2004 .

Design of Adaptive Fuzzy-PI Control with the Aid of Rough Set Theory and Its Application to a HVDC System

Tae-Chon Ahn, Zhong-Xian Wang, 2007, ICIC.

IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, 2007, Neurocomputing.

Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach

Tae-Chon Ahn, James F. Peters, Maciej Borkowski, 2002, Rough Sets and Current Trends in Computing.

Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process

Tae-Chon Ahn, Ho-Sung Park, 2006, IDEAL.

Classify Layer Design for Navigation Control of Line-Crawling Robot

Tae-Chon Ahn, J. F. Peters, M. Borkowski, 2002 .

Design Methodology of Generalized Fuzzy Controller

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2007 .

GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2007, ISNN.

Design of hetero-hybridized feed-forward neural networks with information granules using evolutionary algorithm

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2005 .

A study on the self-organizing polynomial neural networks

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization

Tae-Chon Ahn, Ho-Sung Park, Ho-Sung Park, 2006, FSKD.

Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers

Seok-Beom Roh, Tae-Chon Ahn, Yong-Soo Kim, 2018, Int. J. Fuzzy Syst..

Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2004, International Conference on Computational Science.

Improvement of HSOFPNN Using Evolutionary Algorithm

Sung-Kwun Oh, Tae-Chon Ahn, Ho-Sung Park, 2006, Australian Conference on Artificial Intelligence.

Evolutionary Optimized Fuzzy Set-based Polynomial Neural Networks Based on Classified Information Granules

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2005 .

Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes

Seok-Beom Roh, Tae-Chon Ahn, Ji-Won Jeong, 2011, Int. J. Fuzzy Log. Intell. Syst..

Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn, 2005, International Conference on Computational Science.

Drive of Induction Motors Using a Pseudo-On-LineFuzzy-PID Controller Based on Genetic Algorithm

Tae-Chon Ahn, Yangwon Kwon, Hak-Soo Kang, 2000 .

Computer color management of dyestuff manufacturing on fuzzy inference

Kyung-Won Jang, Tae-Chon Ahn, Zhong-xian Wang, 2005, ICMIT: Mechatronics and Information Technology.

Design of Lazy Classifier based on Fuzzy k-Nearest Neighbors and Reconstruction Error

Seok-Beom Roh, Tae-Chon Ahn, T. Ahn, 2010 .

Feature Selection for Fuzzy Radial Basis Neural Networks based on Locally Linear Reconstruction

Seok-Beom Roh, Tae-Chon Ahn, 2009 .

Space Partition using Context Fuzzy c-Means Algorithm for Image Segmentation

Seok-Beom Roh, Tae-Chon Ahn, Yong Soo Kim, 2010 .

A Design of Fuzzy Classifier with Hierarchical Structure

Seok-Beom Roh, Tae-Chon Ahn, Yong Soo Kim, 2014 .

Design of Fuzzy Set-based Polynomial Neural Networks involving Information Granules with the aid of multi-population Genetic Algorithms

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn, 2006, 2006 SICE-ICASE International Joint Conference.