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...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2005. |
| Serija: | Lecture Notes in Control and Information Science
310 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
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 |
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| 041 | 0 | |a eng | |
| 082 | |a 620 | ||
| 100 | 1 | |a Janczak, Andrzej. | |
| 245 | 1 | 0 | |a Identification of Nonlinear Systems Using Neural Networks and Polynomial Models : |b A Block-Oriented Approach |c edited by A. Janczak. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Control and Information Science |v 310 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction Neural network Wiener models Neural network Hammerstein models Polynomial Wiener models Polynomial Hammerstein models Applications | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 650 | |a Commande non linéaire | ||
| 650 | |a Réseaux neuronaux (informatique) | ||
| 650 | |a Théorie de la commande | ||
| 650 | |a Ingénierie | ||
| 776 | 0 | |0 10925368X |t Identification of nonlinear systems using neural networks and polynomial models |o a block-oriented approach |f A. Janczak |c Berlin |n Springer |d 2005 |p 1 vol. (XIV-197 p.) |s Lecture notes in control and information sciences |z 3-540-23185-4 | |
| 776 | 0 | |t Identification of Nonlinear Systems Using Neural Networks and Polynomial Models |b Texte imprimé |z 9783540804123 | |
| 776 | 0 | |0 10925368X |t Identification of nonlinear systems using neural networks and polynomial models |o a block-oriented approach |f A. Janczak |c Berlin |n Springer |d 2005 |p 1 vol. (XIV-197 p.) |s Lecture notes in control and information sciences |z 3-540-23185-4 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-J62G1F90-V |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748051635 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/b98334 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751502847 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/b98334 |z Accès INSA CVL | |
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