Toshiharu Hatanaka

发表

Path planning for mobile robot using a genetic algorithm

Satoshi Tamura, Makoto Takuno, Toshiharu Hatanaka, 1999 .

Optimal auxiliary input for fault detection based on Kullback divergence

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 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.

Optimal Auxiliary Input for Fault Detection - Frequency Domain Approach -

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1994 .

Distributed Cooperative Full-State Observers with Tunable Information Exchange Interval for Discrete-time Linear Systems

Yasumasa Fujisaki, Takayuki Wada, Toshiharu Hatanaka, 2018 .

Evolutionary Approach to System Identification

Yasuhiro Yamada, Toshiharu Hatanaka, Katsuji Uosaki, 1997 .

Nonlinear system identification based on evolutionary fuzzy modeling

Toshiharu Hatanaka, Katsuji Uosaki, Yoshio Kawaguchi, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A study on multi-objective particle swarm model by personal archives with regular graph

Toshiharu Hatanaka, Takeshi Uchitane, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Distributed Cooperative Full-State Observers for Discrete-time Linear Systems with Missing Data

Yasumasa Fujisaki, Takayuki Wada, Toshiharu Hatanaka, 2019 .

Parking Lot Simulation by Discrete Event Model

Toshiharu Hatanaka, Katsuji Uosaki, Tomohiro Fujimoto, 1994 .

Statistical Analysis of Evolution Strategy

Toshiharu Hatanaka, Katsuji Uosaki, Kunikazu Uesugi, 1997 .

Hammerstein model identification method based on genetic programming

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

A Study on Stochastic Animal Swarm Optimization with gradient estimation methods

Toshiharu Hatanaka, Takeshi Uchitane, Taro Fukutomi, 2014 .

A Study on Classifier by Weak SVM Boosting

Hiroshi Saito, Toshiharu Hatanaka, Katsuji Uosaki, 2007 .

Fault Detection with Evolution Strategies Based Particle Filter and Backward Sequential Probability Ratio Test

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 2007, KES.

Optimal Smoothing of Binary Markov Sequences by Genetic Algorithm and its Application to Image Restoration

Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta, 1995 .

Hybrid swarm of particle swarm with firefly for complex function optimization

Heng Xiao, Toshiharu Hatanaka, 2018, GECCO.

Multiobjective Evolutionary RBF Networks and Its Application to Ensemble Learning

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2007 .

Evolutionary approach for improvement of the operational route for mobile robots

Toshiharu Hatanaka, Katsuji Uosaki, S. Tamura, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Evolution Strategies Based Particle Filters for Nonlinear State Estimation

Toshiharu Hatanaka, Katsuji Uosaki, Yuuya Kimura, 2004, KES.

Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark

Toshiharu Hatanaka, Heng Xiao, Gen Yokoya, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Optimal auxiliary input for fault detection of systems with model uncertainty

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

Optimal Auxiliary Input for On-Line Fault Detection and Fault Diagnosis

Toshiharu Hatanaka, Katsuji Uosaki, N. Takata, 1993 .

Optimal auxiliary input design for fault diagnosis

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1999 .

Multi-objective structure selection for radial basis function networks based on genetic algorithm

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Evolution strategies based particle filters for state and parameter estimation on nonlinear models

Toshiharu Hatanaka, Katsuji Uosaki, Yuuya Kimura, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Hybrid swarm model with changing characteristics of particle swarm and firefly

Heng Xiao, Toshiharu Hatanaka, T. Hatanaka, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

A study on estimation of distribution algorithm based on a partial differential equation model

Toshiharu Hatanaka, Satoru Iwasaki, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Optimal Input for Autoregressive Model Discrimination Based on the Kullback's Discrimination Information

Toshiharu Hatanaka, Katsuji Uosaki, 1988 .

Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation

Toshiharu Hatanaka, Takeshi Uchitane, T. Hatanaka, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Optimal Auxiliary Input Design for Fault Detection of Systems with Model Uncertainty

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 2000 .

Nonlinear System Identification by Pareto RBF Network Ensemble Based on Evolutionary Multiobjective Optimization

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2006 .

Optimal auxiliary input for fault detection and fault diagnosis

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1996, Proceedings of Joint Conference on Control Applications Intelligent Control and Computer Aided Control System Design.

An Analysis of Learning Processes on Online Notes using Scrapbox

Toshiharu Hatanaka, Nobuhiko Kondo, Takeshi Matsuda, 2019, 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).

History Based Particle Filter for State Estimation of Stochastic Hybrid System

Toshiharu Hatanaka, Katsuji Uosaki, 2009 .

Search Performance Improvement for PSO in High Dimensional Space

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2009 .

An Approach for Estimation of Students' Learning States Using Bayesian Network with LMS Log Data

Toshiharu Hatanaka, Nobuhiko Kondo, T. Hatanaka, 2018, 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI).

Nonlinear State Estimation by Evolution Strategies Based Gaussian Sum Particle Filter

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 2005, KES.

Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data

Toshiharu Hatanaka, Nobuhiko Kondo, Midori Okubo, 2017, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Wiener model identification by evolutionary computation approach with piecewise linearization

Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

System Identification Based on Evolutionary Strategy

Yasuhiro Yamada, Toshiharu Hatanaka, Katsuji Uosaki, 1997 .

Parking Lot Simulation System PLISM-1

Toshiharu Hatanaka, Katsuji Uosaki, Tomohiro Fujimoto, 1996 .

Optimal input for autoregressive model discrimination based on the Kullback's divergence

Toshiharu Hatanaka, Katsuji Uosaki, 1988 .

Structure selection of RBF network using multi-objective genetic algorithm

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

Optimal smoothing of binary Markov sequences by genetic algorithm and its application to image restoration

Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Performance improvement of particle swarm optimization for high-dimensional function optimization

Toshiharu Hatanaka, Katsuji Uosaki, Takeshi Korenaga, 2007, 2007 IEEE Congress on Evolutionary Computation.

Pareto RBF network ensemble using multi-objective evolutionary computation

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2005 .

Experimental study for multi-objective PSO with single objective guide selection

Toshiharu Hatanaka, Takeshi Uchitane, 2012, 2012 IEEE Congress on Evolutionary Computation.

Frequency domain approach to optimal auxiliary input design for fault diagnosis

Toshiharu Hatanaka, Katsuji Uosaki, 1999, 1999 European Control Conference (ECC).

Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention

Toshiharu Hatanaka, Takeshi Uchitane, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Neural Network Application to Eggplant Classification

Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, 2003, KES.

Estimation of Students' Learning States using Bayesian Networks and Log Data of Learning Management System

Toshiharu Hatanaka, Nobuhiko Kondo, T. Hatanaka, 2019, International Journal of Institutional Research and Management.

Training Hidden MarkovModelStructure withGenetic Algorithm forHumanMotionPattern Classification

Tomoyuki Matsuo, Toshiharu Hatanaka, Katsuji Uosaki, 2006 .

Evolution strategies for biped locomotion learning using nonlinear oscillators

Toshiharu Hatanaka, Katsuji Uosaki, Takeshi Uchitane, 2010, Proceedings of SICE Annual Conference 2010.

Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2006, Multi-Objective Machine Learning.

RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization

Toshiharu Hatanaka, Katsuji Uosaki, Nobuhiko Kondo, 2008, J. Adv. Comput. Intell. Intell. Informatics.

Guide selection methods using topology in multi-objective particle swarm optimization

Toshiharu Hatanaka, Nobuhiko Kondo, Takeshi Uchitane, 2008 .

Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization

Toshiharu Hatanaka, Heng Xiao, Gen Yokoya, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A General Swarm Intelligence Model for Continuous Function Optimization

Heng Xiao, Toshiharu Hatanaka, Takeshi Uchitane, 2017, SEAL.

Evolution strategies based Gaussian sum particle filter for nonlinear state estimation

Toshiharu Hatanaka, Katsuji Uosaki, 2005, 2005 IEEE Congress on Evolutionary Computation.

A multiple hypothesis approach to state estimation of stochastic hybrid system by particle filter

Toshiharu Hatanaka, Katsuji Uosaki, Shin Ishimaru, 2006 .

Heterogenous swarm with first and second order dynamics for function optimization

Heng Xiao, Toshiharu Hatanaka, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Structure identification in Takagi-Sugeno fuzzy modeling

Toshiharu Hatanaka, Katsuji Uosaki, N. Manabe, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Optimal Auxiliary Input for Fault Detection - Frequency Domain Approach -

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1994 .

Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm

Toshiharu Hatanaka, Heng Xiao, Gen Yokoya, 2021, Int. J. Swarm Intell. Res..

Model Selecting PSO-FA Hybrid for Complex Function Optimization

Toshiharu Hatanaka, Heng Xiao, 2021, Int. J. Swarm Intell. Res..

Robust Parameter Estimation for Uncertain Gross-Error Models 1

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 2003 .

Optimal Input Design for Discrimination of Linear Stochastic Models Based on Kullback–Leibler Discrimination Information Measure

Toshiharu Hatanaka, Katsuji Uosaki, K. Uosaki, 1988 .

AUTOMATIC OPERATING REGIME SELECTION IN LOCAL MODELING

Toshiharu Hatanaka, Katsuji Uosaki, Norio Manabe, 2002 .