006.32 H28

Haykin, Simon

New Jersey,Prentice Hall ,1999

24 cm

Introduction-- Learning processes-- Single layer perceptrons-- Multilayer perceptrons-- Radial-basis function networks-- Support vector machines-- Mommittee Machines-- Principal components analysis-- Self-organizing maps-- Information-Theoretic-- Stochastic machines and their approximates rooted in statistical mechanics-- Neurodynamisc programming-- Temporal processing using feedforward networks-- Neurodynamics-- Dynamically driven recurrent networks

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