An Introduction to Neural Networks
Anderson, James A. :
An Introduction to Neural Networks - New Delhi : Prentice Hall India, 1995. - xi, 650 p. : illustrations ;
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
8120313518 9788120313514
Neural networks (Computer science)
004.69 / AND
An Introduction to Neural Networks - New Delhi : Prentice Hall India, 1995. - xi, 650 p. : illustrations ;
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
8120313518 9788120313514
Neural networks (Computer science)
004.69 / AND