An Introduction to Neural Networks

By: Anderson, James AMaterial type: TextTextPublication details: New Delhi : Prentice Hall India, 1995Description: xi, 650 p. : illustrationsISBN: 8120313518 ; 9788120313514Subject(s): Neural networks (Computer science)DDC classification: 004.69
Contents:
Properties of single neurons; synaptic integration and neuron models; essential vector operations; lateral inhibition and sensory processing; simple matrix operations; the linear associator - background and foundations; the linear associator - simulations; early network models - the perceptron; gradient descent algorithms; representation of information; applications of simple associators - concept formation and object motion; energy and neural networks - Hopfield networks and Boltzmann machines; nearest neighbour models; adaptive maps; the BSB model - a simple nonlinear autoassociative neural network; associative computation; teaching arithmetic to a neural network.
Summary: An Introduction to Neural Networks- The MIT Press-James A. Anderson-1998-EDN-1
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Included Index.

Properties of single neurons; synaptic integration and neuron models; essential vector operations; lateral inhibition and sensory processing; simple matrix operations; the linear associator - background and foundations; the linear associator - simulations; early network models - the perceptron; gradient descent algorithms; representation of information; applications of simple associators - concept formation and object motion; energy and neural networks - Hopfield networks and Boltzmann machines; nearest neighbour models; adaptive maps; the BSB model - a simple nonlinear autoassociative neural network; associative computation; teaching arithmetic to a neural network.

An Introduction to Neural Networks- The MIT Press-James A. Anderson-1998-EDN-1

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