Neural Networks : Methodology and Applications
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, m...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Neural networks, methodology and applications, G. Dreyfus [editor], Berlin, Springer, 2005, 1 vol. (XVIII-497 p.), 3-540-22980-9 |
جدول المحتويات:
- Neural Networks: An Overview Modeling with Neural Networks: Principles and Model Design Methodology Modeling Metholodgy: Dimension Reduction and Resampling Methods Neural Identification of Controlled Dynamical Systems and Recurrent Networks Closed-Loop Control Learning Discrimination Self-Organizing Maps and Unsupervised Classification Neural Networks without Training for Optimization