Artificial neural networks for the modelling and fault diagnosis of technical processes

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Last edited by MARC Bot
November 30, 2023 | History

Artificial neural networks for the modelling and fault diagnosis of technical processes

"The book is mainly focused on investigating the properties of locally recurrent neural networks, developing training procedures for them and their application to the modelling and fault diagnosis of non-linear dynamic processes and plants." "The material included in the monograph results from research that has been carried out at the Institute of Control and Computation Engineering of the University of Zielona Gora, Poland, for the last eight years in the area of the modelling of non-linear dynamic processes as well as fault diagnosis of industrial processes."--Jacket.

Publish Date
Publisher
Springer
Language
English
Pages
206

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Previews available in: English

Edition Availability
Cover of: Artificial neural networks for the modelling and fault diagnosis of technical processes
Cover of: Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

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Book Details


Edition Notes

Includes bibliographical references and index.

Published in
Berlin
Series
Lecture notes in control and information sciences -- 377, Lecture notes in control and information sciences -- 377.

Classifications

Dewey Decimal Class
620.0044
Library of Congress
TA169.6 .P38 2008, TJ212-225, QA169.6 .P38 2008

The Physical Object

Pagination
xxii, 206 p. :
Number of pages
206

ID Numbers

Open Library
OL25000161M
Internet Archive
artificialneural00pata
ISBN 10
3540798714, 3540798722
ISBN 13
9783540798712, 9783540798729
LCCN
2008926085
OCLC/WorldCat
227279537

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History

Download catalog record: RDF / JSON
November 30, 2023 Edited by MARC Bot import existing book
February 25, 2022 Edited by ImportBot import existing book
June 28, 2019 Edited by MARC Bot import existing book
October 20, 2011 Created by LC Bot import new book