Application of neural networks to modelling and control
Author(s)
Bibliographic Information
Application of neural networks to modelling and control
Chapman & Hall, 1993
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Agriculture, Forestry and Fisheries Research Information Technology Center (AFFRIT)
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Co-published with the Institute of Measurement and Control, this book presents some of the latest developments in the field of neural networks as applied to modelling and control. The field of control spans a wide range of applications from scheduling of regulators to control movement in manufacturing processes to the requirement for precision control of very fast processes in, for example, the aeronautics industry. In the area of control of dynamic systems in manufacturing and processing industries, neural networks have found a niche and this book provides information of these developments. Many of the contributors are well known in this area and this book should prove useful to all those involved in neural networks and their industrial applications. This book should be of interest to academic and industrial researchers and postgraduate researchers.
Table of Contents
- Introduction to neural networks, J.B. Gomm et al
- neural networks for control - evolution, revolution or renaissance, P.J.G. Lisboa
- identification of linear systems using recurrent neural networks, D.T. Pham, X. Lui
- enhancing feedforward neural network training, C. Peel et al
- estimation of state variables of a fermentation process via Kalman filter and neural network, D. Tsaptsinos, N.A. Jalel, J.R. Leigh
- a label driven CMAC intelligent control strategy, A.J. Lawrence, C.J. Harris
- neural network controller for depth of anaesthesia, D.A. Linkens, H.U. Rehman.
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