part Section I: Overviews of Neural Networks, Classifiers, and Feature Extraction Methods�Supervised Neural Networks -- chapter 1 Classifiers: An Overview -- chapter 2 Artificial Neural Networks: Definitions, Methods, Applications -- chapter 3 A System for Handwritten Digit Recognition -- chapter 4 Other Types of Feature Extraction Methods -- part Section II: Unsupervised Neural Networks -- chapter 5 Fuzzy Neural Networks -- chapter 6 Application to Handwritten Digits -- chapter 7 An Unsupervised Neural Network System for Visual Evoked Potentials -- part Section III: Advanced Neural Network Architectures/Modular Neural Networks -- chapter 8 Classification of Mammograms Using a Modular Neural Network -- chapter 9 Visual Ophthalmologist: An Automated System for Classification of Retinal Damage -- chapter 10 A Three-Dimensional Neural Network Architecture -- part Section IV: General Applications -- chapter 11 A Feature Extraction Algorithm Using Connectivity Strengths and Moment Invariants -- chapter 12 Multilayer Perceptrons with ALOPEX: 2D-Template Matching and VLSI Implementation -- chapter 13 Implementing Neural Networks in Silicon -- chapter 14 Speaker Identification through Wavelet Multiresolution Decomposition and ALOPEX -- chapter 15 Face Recognition in Alzheimer's Disease: A Simulation -- chapter 16 Self-Learning Layered Neural Network -- chapter 17 Biological and Machine Vision.