Kooperativer Bibliotheksverbund

UID:

Umfang: 1 online resource (485 p.)

ISBN: 1-281-04672-8 , 9786611046729 , 0-08-049898-1

Serie: Neural network systems, techniques, and applications ; 1

Inhalt: This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discret

Anmerkung: Description based upon print version of record. , II. Feedforward Neural Network ModelsIII. Stepwise Regression for Weight Initialization; IV. Initialization of Multilayer Perceptron Networks; V. Initial Training for Radial Basis Function Networks; VI. Weight Initialization in Speech Recognition Application; VII. Conclusion; Appendix I: Chessboard 4 X 4; Appendix II: Two Spirals; Appendix III: GaAs MESFET; Appendix IV: Credit Card; References; Chapter 4. Fast Computation in Hamming and Hopfield Networks; I. General Introduction; II. Threshold Hamming Networks; III. Two-Iteration Optimal Signaling in Hopfield Networks; IV. Concluding Remarks , ReferencesChapter 5. Multilevel Neurons; I. Introduction; II. Neural System Analysis; III. Neural System Synthesis for Associative Memories; IV. Simulations; V. Conclusions and Discussions; Appendix; References; Chapter 6. Probabilistic Design; I. Introduction; II. Unified Framework of Neural Networks; III. Probabilistic Design of Layered Neural Networks; IV. Probability Competition Neural Networks; V. Statistical Techniques for Neural Network Design; VI. Conclusion; References; Chapter 7. Short Time Memory Problems; I. Introduction; II. Background; III. Measuring Neural Responses , IV. Hysteresis ModelV. Perfect Memory; VI. Temporal Precedence Differentiation; VII. Study in Spatiotemporal Pattern Recognition; VIII. Conclusion; Appendix; References; Chapter 8. Reliability Issue and Quantization Effects in Optical and Electronic Network Implementations of Hebbian-Type Associative Memories; I. Introduction; II. Hebbian-Type Associative Memories; III. Network Analysis Using a Signal-to-Noise Ratio Concept; IV. Reliability Effects in Network Implementations; V. Comparison of Linear and Quadratic Networks; VI. Quantization of Synaptic Interconnections; VII. Conclusions , ReferencesChapter 9. Finite Constraint Satisfaction; I. Constrained Heuristic Search and Neural Networks for Finite Constraint Satisfaction Problems; II. Linear Programming and Neural Networks; III. Neural Networks and Genetic Algorithms; IV. Related Work, Limitations, Further Work, and Conclusions; Appendix I. Formal Description of the Shared Resource Allocation Algorithm; Appendix II. Formal Description of the Conjunctive Normal Form Satisfiability Algorithm; Appendix III. A 3-CNF-SAT Example; Appendix IV. Outline of Proof for the Linear Programming Algorithm; References , Chapter 10. Parallel, Self-Organizing, Hierarchical Neural Network Systems , English

Weitere Ausg.: ISBN 0-12-443860-1

Weitere Ausg.: ISBN 0-12-443861-X

Sprache: Englisch