DocumentCode
278002
Title
Neural networks: problems and opportunities!
Author
Noakes, P.D. ; Green, A.D.P.
Author_Institution
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
fYear
1991
fDate
33309
Firstpage
42370
Lastpage
42373
Abstract
Artificial neural networks attempt to model the massively parallel structure and the learning capability offered by biological neural systems. They have been shown to offer significant advantages over conventional processing techniques in certain recognition and control applications. However there are problems in selecting an appropriate neuron model and network configuration. The paper discusses these problems and identifies the need to establish a design methodology for neural systems
Keywords
neural nets; control applications; design methodology; learning capability; massively parallel structure; network configuration; neural networks; neuron model; recognition;
fLanguage
English
Publisher
iet
Conference_Titel
Neural Networks: Design Techniques and Tools, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
181066
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