Identification of Nonlinear Systems Using Neural Networks and Polynomial Models : A Block-Oriented Approach
This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gi...
Kaydedildi:
| Yazar: | |
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| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2005. |
| Seri Bilgileri: | Lecture Notes in Control and Information Science
310 |
| Konular: | |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Identification of nonlinear systems using neural networks and polynomial models, a block-oriented approach, A. Janczak, Berlin, Springer, 2005, 1 vol. (XIV-197 p.), Lecture notes in control and information sciences, 3-540-23185-4 • Identification of Nonlinear Systems Using Neural Networks and Polynomial Models, Texte imprimé, 9783540804123 • Identification of nonlinear systems using neural networks and polynomial models, a block-oriented approach, A. Janczak, Berlin, Springer, 2005, 1 vol. (XIV-197 p.), Lecture notes in control and information sciences, 3-540-23185-4 |
| Özet: | This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory |
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| Diğer Bilgileri: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540315964 |
| ISSN: | 1610-7411 |
| Erişim: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |