Téléchargez le livre : Stochastic Learning and Optimization

Stochastic Learning and Optimization

A Sensitivity-Based Approach

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Éditeur :

Springer


Paru le : 2007-10-23



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Description
Performance optimization is vital in the design and operation of modern engineering systems, including communications, manufacturing, robotics, and logistics. Most engineering systems are too complicated to model, or the system parameters cannot be easily identified, so learning techniques have to be applied. This is a multi-disciplinary area which has been attracting wide attention across many disciplines. Areas such as perturbation analysis (PA) in discrete event dynamic systems (DEDSs), Markov decision processes (MDPs) in operations research, reinforcement learning (RL) or neuro-dynamic programming (NDP) in computer science, identification and adaptive control (I&AC) in control systems, share the common goal: to make the "best decision" to optimize system performance. This book provides a unified framework based on a sensitivity point of view. It also introduces new approaches and proposes new research topics within this sensitivity-based framework.
Pages
566 pages
Collection
n.c
Parution
2007-10-23
Marque
Springer
EAN papier
9780387367873
EAN PDF
9780387690827
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
5816 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
210,99 €

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