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Introduction to Artificial Neural Network and Fuzzy Systems - page 7 / 7

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copyright (C) 2001 by Yu Hen Hu

Overview - 7

Introduction to ANN & Fuzzy Systems

Major Topics To Be Covered

ANN Basics, neurons, learning algorithms

Perceptron learning, and pattern classification

Multi-Layer Perceptron (MLP), back-propagation learning, and applications

Pattern classification, Support vector machine (SVM)

Clustering, Self-Organization Map

Radial Basis Network

Time series prediction, system identification, expert system

Fuzzy Set Theory and Fuzzy Logic Control

Genetic Algorithm and Evolution Computing

Learn vector quantization

Mixture of Expert network

Recurrent network

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