Artificial neural networks for the modelling and fault diagnosis of technical processes
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Word Count
51,500 words, Guess
Page Count
206 pages
Identifiers
- Internet Archiveartificialneural00pata
- Internet Archiveartificialneural00pata_580
- ISBN-103540798714
- ISBN-103540798722
- ISBN-139783540798712
and 6 more
- ISBN-139783540798729
- Library of Congress Control Number2008926085
- OCLC Control Number227279537
- Better World Books9783540798729
- Better World Books9783540798712
- Open LibraryOL25000161M
Classifications
- DDC620.0044
- LCCTA169.6 .P38 2008
- LCCTJ212-225
and 1 more
- LCCQA169.6 .P38 2008
Description
"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.
Subjects
Topics
Series Statement
- Lecture notes in control and information sciences -- 377
Links
Other Editions
- Artificial neural networks for the modelling and fault diagnosis of technical processes
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