Learning automata and stochastic optimization
In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a...
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| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer-Verlag London Limited : Springer e-books
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in control and information sciences
225 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning automata and stochastic optimization, A.S. Poznyak and K. Najim, 1997, Berlin, Springer, 1 vol. (XII-204 p.), Lecture notes in control and information sciences, 3-540-76154-3 • Learning Automata and Stochastic Optimization, Texte imprimé, 9783662174876 |
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| 100 | 1 | |a Pozniak, Aleksandr S. | |
| 245 | 1 | 0 | |a Learning automata and stochastic optimization |c A.S. Poznyak and K. Najim. |
| 260 | |a Berlin [etc.] : |b Springer-Verlag London Limited : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in control and information sciences |v 225 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Stochastic optimization -- On learning automata -- Unconstrained optimization problems -- Constrained optimization problems -- Optimization of nonstationary functions. | |
| 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 In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics. | ||
| 650 | |a Apprentissage automatique | ||
| 650 | |a Optimisation mathématique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Processus stochastiques | ||
| 650 | |a Ingénierie | ||
| 700 | 1 | |a Najim, Kaddour, |d 1949- |4 aut | |
| 776 | 0 | |0 028073665 |t Learning automata and stochastic optimization |f A.S. Poznyak and K. Najim |d 1997 |c Berlin |n Springer |p 1 vol. (XII-204 p.) |s Lecture notes in control and information sciences |z 3-540-76154-3 | |
| 776 | 0 | |t Learning Automata and Stochastic Optimization |b Texte imprimé |z 9783662174876 | |
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