Supervised and unsupervised pattern recognition : feature extraction and computational intelligence /

Bibliographic Details
Main Author:	Micheli-Tzanakou, Evangelia, 1942-
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Language Notes:	English.
Published:	Boca Raton, FL : CRC Press, ©2000.
Series:	Industrial electronics series.
Subjects:	Neural networks (Computer science) Pattern recognition systems. Réseaux neuronaux (Informatique) Reconnaissance des formes (Informatique) COMPUTERS > General. Pattern recognition systems Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.