Artificial Neural Networks: An Introduction to ANN Theory and Practice [1 ed.] 3540594884, 9783540594888

This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks f

572 103 2MB

English Pages 299 [295] Year 1995

Table of contents :
Introduction: Neural networks as associative devices....Pages 1-9
Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction....Pages 11-36
Back Propagation....Pages 37-66
Perceptrons....Pages 67-81
Kohonen network....Pages 83-100
Adaptive Resonance Theory....Pages 101-117
Boltzmann Machines....Pages 119-129
Representation issues in Boltzmann machines....Pages 131-144
Optimisation networks....Pages 145-156
Local search in combinatorial optimization....Pages 157-174
Process identification and control....Pages 175-204
Learning controllers using neural networks....Pages 205-233
Key issues for successful industrial neural-network applications: An application in geology....Pages 235-245
Neural cognodynamics....Pages 247-271
Choosing and using a neural net....Pages 273-287

Artificial Neural Networks: An Introduction to ANN Theory and Practice [1 ed.]
3540594884, 9783540594888

Author / Uploaded
P. J. Braspenning (auth.)
P. J. Braspenning
F. Thuijsman
A. J. M. M. Weijters (eds.)

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