Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner� s Handbook (Advanced Textbooks in Control and Signal Processing)

Hansen, L.K.,Poulsen, N.K.,Ravn, O.,Norgaard, M.

ISBN 10: 1852332271 ISBN 13: 9781852332273

Editorial: Springer, 2000

Idioma: Ingl�s

Usado Condici�n: Good Encuadernaci�n de tapa blanda

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Descripci�n

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

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Detalles bibliogr�ficos

T�tulo: Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner� s Handbook (Advanced Textbooks in Control and Signal Processing)
Editor: Springer
Fecha de publicaci�n: 2000
Idioma: Ingl�s
ISBN 10: 1852332271
ISBN 13: 9781852332273
Encuadernaci�n: Paperback
Edici�n: 3� Edici�n
Estado: Good

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Sinopsis

A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control. The book provides readers with a sufficient theoretical background to understand the characteristics of different methods, and to be aware of the pit-falls so as to make the correct decisions in all situations. This is a very application-oriented text that gives detailed and pragmatic recommendations to guide users through the plethora of methods suggested in the literature. Furthermore, it introduces sound working procedures that can lead to efficient neural network solutions. Invaluable to the practitioner and as a textbook in courses with a significant hands-on component.

Rese�a del editor

A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control. The book provides readers with a sufficient theoretical background to understand the characteristics of different methods, and to be aware of the pit-falls so as to make the correct decisions in all situations. This is a very application-oriented text that gives detailed and pragmatic recommendations to guide users through the plethora of methods suggested in the literature. Furthermore, it introduces sound working procedures that can lead to efficient neural network solutions. Invaluable to the practitioner and as a textbook in courses with a significant hands-on component.

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