Learning Systems: Decision, Simulation, and ControlThis monograph presents some fundamental and new approaches to the use of learning systems in certain classes of decision, simulation, and control problems. |
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Learning Systems: Decision, Simulation, and Control Y. M. El-Fattah,C. Foulard No preview available - 2014 |
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algorithm assumed Automation and Remote Bayes classification collective behavior component considered contramonotonicity convergence corresponding covariance matrix decision rule defined denotes dimensional entropy epoch equation estimate expected average reward f₁ f₂ feature extraction feature space feature vector finite given H₁ H₂ Hence indicator function input intraset feature extraction learning automata learning systems Lemma linear Markov chain measurement structure minimizing mixture probability mixture probability density Nash play observed optimal optimal classification orthonormal output parameter pattern classes pattern recognition pattern vector penalty index priori information probability density function problem R₂ random variable reinforcement scheme Remote Control są(y seller sequence sequential simplex Simulation Stochastic Approximation stochastic automata strategy supervised learning teacher th automaton theorem tion W₁ w₂ zero αβ γδ Σ Σ аф