Radial Basis Function Neural Networks With Sequential Learning, Progress In Neural Processing

MRAN and Its Applications

Ying Wei Lu, P Saratchandran, Narasimman Sundararajan

• Publisher: World Scientific
• Year: 1999
• Print ISBN: 9789810237714, 9789810237714
• eBook ISBN: 9789812812506
• Topic: Computer Science
• Subtopic: Neural Networks
• Index: Computer Science

This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning.

Table of contents

• Contents
• Preface
• Chapter 1 A Review of Radial Basis Function (RBF) Neural Networks
• Chapter 2 A Novel Sequential Learning Algorithm for Minimal Resource Allocation Neural Networks (MRAN)
• Chapter 3 MRAN for Function Approximation & Pattern Classification Problems
• Chapter 4 MRAN for Nonlinear Dynamic Systems
• Chapter 5 MRAN for Communication Channel Equalization
• Chapter 6 Concluding Remarks
• Appendix A: Outline Source Code for MRAN in MATLAB
• Bibliography
• Index