1 Overview of Neural Networks. - 1. 1 Brief History of Neural Network Research. - 1. 2 Neural Network Models. - 1. 3 Expectations for Neural Networks. - 2 The Hopfield Network. - 2. 1 Definition of the Continuous Hopfield Network. - 2. 2 Stability of Equilibrium Points. - 2. 3 Suppression of Spurious States. - 2. 4 Solution of the Hopfield Network. - 2. 5 Variants of the Continuous Hopfield Network. - 2. 6 Performance Evaluation for Traveling Salesman Problems and LSI Module Placement Problems. - Problems. - 3 Multilayered Networks. - 3. 1 Network Training. - 3. 2 Determination of the Network Structure. - 3. 3 Synthesis of the Network. - 3. 4 Pattern Classification by the Decision Tree Extracted from the Network. - 3. 5 Acceleration of Training and Improvement of Generalization Ability. - Problems. - 4 Other Neural Networks. - 4. 1 The Kohonen Network. - 4. 2 Variants of Multilayered Networks. - 4. 3 ART Models. - Problem. - 5 Overview of Fuzzy Systems. - 5. 1 Fuzzy Sets. - 5. 2 Fuzzy Rule Inference. - 5. 3 Comparison of Neural Networks and Fuzzy Systems. - 5. 4 Fuzzy Rule Extraction. - Problems. - 6 Fuzzy Rule Extraction for Pattern Classification from Numerical Data. - 6. 1 Approximation by Cluster Centers. - 6. 2 Approximation by Hyperboxes. - 6. 3 Approximation by Polyhedrons. - 6. 4 Performance Evaluation. - Problems. - 7 Fuzzy Rule Extraction for Function Approximation from Numerical Data. - 7. 1 Clustering of Input Space. - 7. 2 Clustering of Input and Output Spaces. - 7. 3 Performance Evaluation of a Water Purification Plant and Time Series Prediction. - Problems. - 8 Composite Systems. - 8. 1 Determining the Optimal Structure of the Composite Multilayered Network Classifier. - 8. 2 Applications. - References. - Solutions to Problems. - Author Index. Language: English