Neural network design / Martin T. Hagan, Howard B. Demuth, Mark Beale



Digitised Book 216.73.216.191 (0)

1996

Neural network design / Martin T. Hagan, Howard B. Demuth, Mark Beale

Information About

This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training networks, and application of networks to practical engineering problems in pattern recognition, signal processing, and control systems.

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Additional Details

Title
Neural network design / Martin T. Hagan, Howard B. Demuth, Mark Beale
Creators
  • Hagan, Martin T.
Subject
  • Neural networks (Computer science)
Publisher
  • Thomson Learning, 1996
  • National Library Board Singapore, 1996
Contributors
  • Demuth, Howard B.
  • Beale, Mark H.
Digital Description
application/pdf, ill. + 1 computer disk (3 1/2 in.)
Table of Contents
  • Introduction. Objectives. History... -- Neuron model and network architectures. Objectives. Theory and examples. Summary of results... -- An illustrative example. Objectives. Theory and examples... -- Perceptron learning rule. Objectives. Theory and examples... -- Signal and weight vector spaces. Objectives. Theory and examples... -- Linear transformations for neural networks. Objectives. Theory and examples... -- Supervised Hebbian learning... -- Performance surfaces and optimum points... -- Performance optimization... -- Widrow-Hoff learning... -- Backpropagation... -- Variations on backpropagation... -- Associative learning... -- Competitive networks... -- Grossberg network... -- Adaptive resonance theory... -- Stability... -- Hopfield network... -- Epilogue...
Copyright
  • All Rights Reserved. National Library Board Singapore 2009.