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Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer
Publisher: Westview Press

A clear exposition of the theoretical aspects of neural computation. Introduction to the Theory of Neural Computation - John A. D912;Modern Power Station Practice - Incorporating Modern Power System Practice Volume K;3;British Electricity International;Pergamon Press;1991; 125.000 ; 93.750. Introduction to the Theory of Neural Computation. Neural computation has been described as “ embarrassingly parallel” as each neuron can be thought of as spike frequency and spike volume is proposed and used to evaluate the system. Hertz - Google Books The first chapters give a general introduction to the. (1987), Spin glass theory and beyond. First of all, when we are talking about a neural network, we *should* usually better say "artificial neural network" (ANN), because that is what we mean most of the time. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Many disciplines from low-level biology through psychology and computer science. D913;Technical Analysis of Stock Trends;8;Robert D. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Title:Introduction To The Theory Of Neural Computation, Volume I (Santa Fe Institute Series) free ebook dovvnload. Palmer;Addison Wesley;; 92.000 ; 69.000. D970;Introduction to The Theory of Neural Computation;;John Hertz, Anders Krogh, Richard G.