Neural Networks A Comprehensive foundations
Publication details: Pearson education 1999 Edition: 2Description: 522DDC classification: 515.16 HAY/Neu Summary: Contents Introduction Learning processes Single layer perception Mutilayer perception Radial Basis function networks Support vector machines Committee machines Principal Components analysis Self organizing maps Information Theoretic models Stochastic machines and their approximates rooted in statistical mechanics Neurodynamic Programming Temporal Processing using Feedforward networks Neurodynamics Dynamically driven recurrent networks| Item type | Home library | Call number | Materials specified | Status | Date due | Barcode |
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Books
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Parvatibai Chowgule College of Arts and Science, Margao Mathematics | 515.16 HAY/Neu (Browse shelf(Opens below)) | Available | PCC-40454 |
Contents
Introduction
Learning processes
Single layer perception
Mutilayer perception
Radial Basis function networks
Support vector machines
Committee machines
Principal Components analysis
Self organizing maps
Information Theoretic models
Stochastic machines and their approximates rooted in statistical mechanics
Neurodynamic Programming
Temporal Processing using Feedforward networks
Neurodynamics
Dynamically driven recurrent networks
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