The Institution of Engineering and Technology, 1995 eISBN: 978-1-84919-349-8 | Cloth: 978-0-85296-852-9 Library of Congress Classification QA76.87.N475 1995 Dewey Decimal Classification 629.89
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.
TABLE OF CONTENTS
Chapter 1: Neural networks: an introduction
Chapter 2: Digital neural networks
Chapter 3: Fundamentals of neurocontrol: a survey
Chapter 4: Selection of neural network structures: some approximation theory guidelines
Chapter 5: Electric power and chemical process applications
Chapter 6: Studies in artificial neural network based control
Chapter 7: Applications of dynamic artificial neural networks in state estimation and nonlinear process control
Chapter 8: Speech, vision and colour applications
Chapter 9: Real-time drive control with neural networks
Chapter 10: Fuzzy-neural control in intensive-care blood pressure management
Chapter 11: Neural networks and system identification
Chapter 12: Neurofuzzy adaptive modelling and construction of nonlinear dynamical processes