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Neural Networks for Modelling and Control

Brown, M. and Harris, C.J., (1994) Neural Networks for Modelling and Control Harris, C.J. (ed.) At Advances in Intelligent Control. , 18--55.

Record type: Conference or Workshop Item (Other)

Abstract

A revival of interest in Artificial Neural Networks has taken place during the past decade. Research has focused on the ability of these algorithms to learn from their past experiences, generalising the stored information so that it affects the network's response for similar inputs. Adaptive and learning systems are attractive to the control engineer as they can offer significant advantages for modelling and controlling time-varying, complex plants operating in non-stationary environments. This chapter provides an introduction to the ANNs which are commonly used in modelling and control applications and compares their advantages and disadvantages. The text is broadly split into three sections which separately describe the network's modelling abilities, the learning rules and the model evaluation strategies.

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More information

Published date: 1994
Additional Information: Address: London, UK
Venue - Dates: Advances in Intelligent Control, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250256
URI: http://eprints.soton.ac.uk/id/eprint/250256
PURE UUID: 4e0e812c-ed11-49b6-a8eb-5028e39e6b93

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Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Contributors

Author: M. Brown
Author: C.J. Harris
Editor: C.J. Harris

University divisions

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