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 res...
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Berlin :
Springer,
2008
Berlin : c2008 Berlin : ©2008 |
| Series: | Lecture notes in control and information sciences ;
377 Lecture notes in control and information sciences ; 377 Lecture notes in control and information sciences 377 |
| Subjects: |
Table of Contents:
- 1. Introduction
- 2. Modelling Issue in Fault Diagnosis
- 3. Locally Recurrent Neural Networks
- 4. Approximation Abilities of Locally Recurrent Networks
- 5. Stability and Stabilization of Locally Recurrent Networks
- 6. Optimum Experimental Design for Locally Recurrent Networks
- 7. Decision Making in Fault Detection
- 8. Industrial Applications
- 9. Concluding Remarks and Further Research Directions
- 1 Introduction
- 2. Modelling Issue in Fault Diagnosis
- 3. Locally Recurrent Neural Networks
- 4. Approximation Abilities of Locally Recurrent Networks
- 5. Stability and Stabilization of Locally Recurrent Networks
- 6. Optimum Experimental Design for Locally Recurrent Networks
- 7. Decision Making in Fault Detection
- 8. Industrial Applications
- 9. Concluding Remarks and Further Research Directions.