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

By: Contributor(s): Material type: TextTextPublication details: New Dehli : Cengage, 2008Description: 1 v. (various pagings) : ill. ; 24 cm. + 1 computer disk (3 1/2 in.)ISBN:
  • 9788131503959
Subject(s): DDC classification:
  • 006.3 20 H1412
Contents:
1. Neuron model and network architectures; 2. An illustrative examples; 3. Perceptron learning rule; 4. Signal and weight vector spaces; 5. Linear transformations for neural networks; 6. Supervised Hebbian learning; 7. Performance surfaces and optimum points; 8. Performance optimization; 9. Widrow-Hoff learning, backpropagation, variations on backpropagation, associative learning, competitive networks, grossberg network, adaptive resonance theory, stability, hopfield network, epilogue
List(s) this item appears in: Computer
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Includes bibliographical references and index.

1. Neuron model and network architectures;
2. An illustrative examples;
3. Perceptron learning rule;
4. Signal and weight vector spaces;
5. Linear transformations for neural networks;
6. Supervised Hebbian learning;
7. Performance surfaces and optimum points;
8. Performance optimization;
9. Widrow-Hoff learning, backpropagation, variations on backpropagation, associative learning, competitive networks, grossberg network, adaptive resonance theory, stability, hopfield network, epilogue

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