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    Self-Learning Control of Finite Markov Chains

    Self-Learning Control of Finite Markov Chains

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    Bog E-bog
    • Format
    • Bog, hardback
    • Engelsk

    Beskrivelse

    Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly.

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    Detaljer
    • SprogEngelsk
    • Sidetal316
    • Udgivelsesdato03-01-2000
    • ISBN139780824794293
    • Forlag CRC Press Inc
    • FormatHardback
    Størrelse og vægt
  • Vægt725 g
    • coffee cup img
    10 cm
    book img
    17,4 cm
    24,6 cm

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    Penalty Function Markov Chains Learning automata Adaptive control Linear Programming Problem Adaptive Learning Algorithm Adaptive Control Algorithms Constrained Case Controlled Markov Chain ERGODIC MARKOV CHAINS Finite Markov Chains Lagrange Multipliers Approach Optimal Convergence Rate Saddle Point PROJECTION GRADIENT METHOD Projection Gradient Toeplitz Lemma Transition Matrix Stochastic Approximation Procedures Loss function Penalty Function Approach Practical Aspect Regular Markov Chains Stochastic Approximation Techniques Probability Vector
    Machine Name: SAXO080