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Více informací o knize Stochastic Learning and Optimization

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Applied mathematics

• Plný název: Stochastic Learning and Optimization
• Podnázev: A Sensitivity-Based Approach
• Autor: Xi-Ren Cao
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 566
• EAN: 9780387367873
• ISBN: 038736787X
• ID: 01382040
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 1128 g
• Rozměry: 244 × 166 × 34 mm
• Datum vydání: 12. October 2007

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