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Introduction To The Theory Of Neural Computation,

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

Introduction To The Theory Of Neural Computation, Volume I


Introduction.To.The.Theory.Of.Neural.Computation.Volume.I.pdf
ISBN: 0201515601,9780201515602 | 328 pages | 9 Mb


Download Introduction To The Theory Of Neural Computation, Volume I



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




This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. €�Introduction to the Theory of Neural Computation”, Hertz J. Palmer, Addison- Wesley, California, 1991. Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. €�An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. 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. Many disciplines from low-level biology through psychology and computer science. John Hertz, Anders Krogh, and Richard G. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ.

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