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Neural Networks Design

By: Material type: TextTextPublication details: New Delhi Cengage Learning 1996Edition: 2ndDescription: 19.21pISBN:
  • 9788131503959
Subject(s): DDC classification:
  • 006.32 HAG-N
Online resources:
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Item type Current library Collection Call number Status Date due Barcode
Reference Book Reference Book Amity Central Library ASET CSE Reference 006.32 HAG-N (Browse shelf(Opens below)) Not for loan 28725

'* Preface 1. Introduction 2. Neuron Model and Network Architectures 3. An Illustrative Example 4. Perceptron Learning Rule 5. Signal and Weight Vector Spaces 6. Linear Transformations for Neural Networks 7. Supervised Hebbian Learning 8. Performance Surfaces and Optimum Points 9. Performance Optimization 10. Widrow-Hoff Learning 11. Back propagation 12. Variations on Backpropagation 13. Associative Learning 14. Competitive Networks 15. Grossberg Network 16. Adaptive Resonance Theory 17. Stability 18. Hopfield Network 19. Epilogue

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