Isbn: 9780387367873 - stochastic learning and optimization: a sensitivity-based approach (14 resultados)

hardcover. Condición: Good. good condition, pages are clean and free of markings, light wear to corners and edges, ships same or next business day.

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Condición: Used. pp. 588.

Condición: Used. pp. 588 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condición: Used. pp. 588.

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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Combines currently prominent research on reinforcement learning / neuro-dynamic programming with a unique research approach based on sensitivity analysis and discrete-event systems conceptsPresents a new perspective on a popular topic by a well re.…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. This new perspective on a popular topic is presented by a well respected expert in the field. 588 pp. Englisch.…

Buch. Condición: Neu. Stochastic Learning and Optimization | A Sensitivity-Based Approach | Xi-Ren Cao | Buch | xx | Englisch | 2007 | Humana | EAN 9780387367873 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 588 pp. Englisch. …

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …