P.J. Braspenning,
F. Thuijsman,
A.J.M.M. Weijters
Springer Berlin Heidelberg
1995e druk, 1995
9783540594888
Artificial Neural Networks
An Introduction to ANN Theory and Practice
Specificaties
Paperback, 299 blz.
|
Engels
Springer Berlin Heidelberg |
1995e druk, 1995
ISBN13: 9783540594888
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium.
The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.
Specificaties
ISBN13:9783540594888
Taal:Engels
Bindwijze:paperback
Aantal pagina's:299
Uitgever:Springer Berlin Heidelberg
Druk:1995
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
Introduction: Neural networks as associative devices.- Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction.- Back Propagation.- Perceptrons.- Kohonen network.- Adaptive Resonance Theory.- Boltzmann Machines.- Representation issues in Boltzmann machines.- Optimisation networks.- Local search in combinatorial optimization.- Process identification and control.- Learning controllers using neural networks.- Key issues for successful industrial neural-network applications: An application in geology.- Neural cognodynamics.- Choosing and using a neural net.