Overview
- 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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
Keywords
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