Beschreibung
InhaltsangabeForeword. 1. Introduction. 2. The Vector Decomposition Method. 3. Dynamics of Single Layer Nets. 4. Unipolar Input Signals in Single-Layer Feed-Forward Neural Networks. 5. Cross-Talk in Single-Layer Feed-Forward Neural Networks. 6. Precision Requirement for Analog Weight Adaptation Circuitry for Single-Layer Nets. 7. Discretization of Weight Adaptations in Single-Layer Nets. 8. Learning Behavior and Temporary Minima of Two-Layer Neural Networks. 9. Biases and Unipolar Input Signals for Two-Layer Neural Networks. 10. Cost Functions for Two-Layer Neural Networks. 11. Some Issues for f'(x). 12. Feed-Forward Hardware. 13. Analog Weight Adaptation Hardware. 14. Conclusions. Index. Nomenclature.
Inhalt
Foreword. 1. Introduction. 2. The Vector Decomposition Method. 3. Dynamics of Single Layer Nets. 4. Unipolar Input Signals in Single-Layer Feed-Forward Neural Networks. 5. Cross-Talk in Single-Layer Feed-Forward Neural Networks. 6. Precision Requirement for Analog Weight Adaptation Circuitry for Single-Layer Nets. 7. Discretization of Weight Adaptations in Single-Layer Nets. 8. Learning Behavior and Temporary Minima of Two-Layer Neural Networks. 9. Biases and Unipolar Input Signals for Two-Layer Neural Networks. 10. Cost Functions for Two-Layer Neural Networks. 11. Some Issues for f''(x). 12. Feed-Forward Hardware. 13. Analog Weight Adaptation Hardware. 14. Conclusions. Index. Nomenclature.
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