Miyajima H | Department Of Electrical And Electronics Engineering Faculty Of Engineering Kagoshima University

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概要

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著作論文

A Creating Method of Fuzzy Inference Rules by Self-Creating Neural Network
An Investigation of Fuzzy Model Using AIC
Constructive, Destructive and Simplified Learning Methods of Fuzzy Inference
Learning Model in Relaxation Algorithm Influenced by Self-Organizing Maps for Image Restoration
Numerical Evaluation of Incremental Vector Quantization Using Stochastic Relaxation(Nonlinear Theory and its Applications)
A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization(Neuro, Fuzzy, GA)(Nonlinear Theory and its Applications)
Shift-Invariant Associative Memory Based on Homogeneous Neural Networks(Nonlinear Theory and its Applications)
Decision Procedure of Initial Values of Fuzzy Inference System Using Counterpropagation Networks
Maximum Finding on One-Way Mesh-Connected Computers with Multiple Buses (Special Section of Papers Selected from ITC-CSCC'96)
On Efficient Spare Arrangements and an Algorithm with Relocating Spares for Reconfiguring Processor Arrays (Special Section of Papers Selected from ITC-CSCC'96)
On Methods for Reconfiguring Processor Arrays (Special Issue on Architectures, Algorithms and Networks for Massively parallel Computing)
On Some Dynamical Properties of Threshold and Homogeneous Networks (Special Section on Nonlinear Theory and Its Applications)

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