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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Collectivité auteur: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Édition: | 1st ed. 2014. |
| Collection: | Studies in Computational Intelligence,
510 |
| Sujets: | |
| Accès en ligne: | Texto Completo |
Table des matières:
- Introduction
- Designing of dynamic neural networks
- Estimation methods in training of ANNs for robust fault diagnosis
- MLP in robust fault detection of static non-linear systems
- GMDH networks in robust fault detection of dynamic non-linear systems
- State-space GMDH networks for actuator robust FDI.