Neural Networks for Intelligent Signal Processing

Abstract

A Brief Historical Overview Basic Concepts ANN Performance Evaluation Basic Pattern Recognition Principles ADALINES, Adaptive Filters, and Multi-Layer Perceptrons Probabilistic Neural Network Classifier General Regression Neural Network The Modified Probabilistic Neural Network Advanced MPNN Developments Neural Networks Similar to the Common Bandwidth Spherical Basis Function Regression ANNs Unsupervised Learning Neural Networks Other Neural Network Models Statistical Learning Theory Application to Intelligent Signal Processing Application to Intelligent Control.