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2013-11-22
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook - de M. Norgaard (Author)
Caractéristiques Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
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Le Titre Du Fichier | Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook |
Date de publication | 2013-11-22 |
Traducteur | Rosendo Alinna |
Quantité de Pages | 922 Pages |
La taille du fichier | 32.79 MB |
Langage | Français & Anglais |
Éditeur | Pirate Press |
ISBN-10 | 6090556687-NJJ |
Type de Données | AMZ ePub PDF DOCM PPT |
Auteur | M. Norgaard |
Digital ISBN | 107-8596019580-XAF |
Nom de Fichier | Neural-Networks-for-Modelling-and-Control-of-Dynamic-Systems-A-Practitioner's-Handbook.pdf |
Télécharger Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook Livre PDF Gratuit
The technology of neural networks has attracted much attention in recent years Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications modelling of dynamic systems signal processing and control system design being some of the most common
It is shown that the control problems for dynamical systems under uncertainty conditions generate a need to give the property of adaptability to the dynamical system model At the same time we demonstrate the inadequacy of traditional tools of mathematical modeling and computer simulation to solve this task Overcoming this difficulty is possible by applying techniques of neural network
Neural Networks for Modelling and Control of Dynamic Systems The technology of neural networks is discussed in this title aiming to provide information on pitfalls and pluses of this technology
Neural networks for modelling and control of dynamic systems M Norgaard Springer Libri Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec 5 de réduction Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec 5 de réduction
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He has published 13 articles in his subject areas which include artificial neural networks mathematical modeling and computer simulation of nonlinear dynamical systems numerical optimization methods and optimal control