Authors:
- Investigates 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
- Includes an Introduction to fault diagnosis of non-linear systems using artificial neural networks
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Bibliographic Information
Book Title: Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Authors: Krzysztof Patan
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-540-79872-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-79871-2Published: 24 June 2008
eBook ISBN: 978-3-540-79872-9Published: 11 June 2008
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XXII, 206
Number of Illustrations: 93 b/w illustrations
Topics: Control, Robotics, Mechatronics, Systems Theory, Control, Artificial Intelligence, Complex Systems, Statistical Physics and Dynamical Systems