Wcnn'95, Washington, D.C.: World Congress on Neural Networks : 1995 International Neural Network Society Annual Meeting : Renaissance Hotel, Washington, D.C., USA, July 17-21, 1995 - Vol. 3

Table of contents

• Title Page i
• Preface iii
• Wcnn'95 Conference Sponsor the International Neural Network Society (inns) is the Sponsor of Wcnn'95 v
• Wcnn'95 Program Committee vi
• Wcnn'95 Special Session Chairs viii
• Table of Contents Volume 3 xiii
• Industrial Enterprise Day xvii
• Industrial Enterprise Day xvii
• Application of Fuzzy, Neural and Hybrid Methods to an Autonomously Driven Vehicle 1
• Application of Fuzzy, Neural and Hybrid Methods to an Autonomously Driven Vehicle 1
• 1: Introduction 1
• References 5
• Conclusions 13
• References 13
• Novel Results Session *
• Biological Neural Networks *
• The Functional Role of the Hippocampus in the Organization of Memory 20
• Abstract 20
• References 28
• Acknowledgements 33
• References 33
• Temporal Pattern Detection and Recognition Using the Temporal Noisy Leaky Integrator Neuron Model with the Postsynaptic Delays Trained Using Hebbian Learning 34
• Temporal Pattern Detection and Recognition Using the Temporal Noisy Leaky Integrator Neuron Model with the Postsynaptic Delays Trained Using Hebbian Learning 34
• Conclusion 36
• Acknowledgment 37
• References 37
• A Mimd Environment for Multi-Level Neural Modeling 38
• A Mimd Environment for Multi-Level Neural Modeling 38
• Introduction 38
• Acknowledgments 43
• References 43
• Acknowledgments 47
• References 47
• A Model of the Prefrontal Loop That Includes the Basal Ganglia in Solving the Recency Task 48
• A Model of the Prefrontal Loop That Includes the Basal Ganglia in Solving the Recency Task 48
• Abstract 48
• Conclusion: 51
• References 51
• Computational Modelling of Visual Similarity Effects on Object Categorisation and Naming: A Study of Face Learning 52
• Introduction 52
• Conclusions 54
• References 55
• The Creative Process (especially in Technology): A Knowledge Level Cognitive Model and Its Implications 56
• Conclusions 59
• References 59
• Neural Network Applications *
• Neurocontrol Technology for the Loflyte Testbed Aircraft 60
• Neurocontrol Technology for the Loflyte Testbed Aircraft 60
• Introduction 60
• Acknowledgments 63
• References 63
• Pattern Recognition-Based Coordination of Ultra-High-Speed Relays 75
• References 93
• References 97
• References 106
• References 107
• References 109
• Time Delay Neural Networks for Nox and Co Prediction in Fossil Fuel Plants 115
• Theory and Architectures 138
• A Comparative Study of Gabor and Pixel Representations in Original and Pc Spaces 138
• 3: Discussions and Conclusions 141
• Long-Term Dependencies in Narx Networks 142
• Long-Term Dependencies in Narx Networks 142
• 1: Introduction 142
• 1: Introduction 146
• 1: Introduction 146
• Parameter Adaptation Using a Meta Neural Network 147
• Parameter Adaptation Using a Meta Neural Network 147
• 4: Conclusion 150
• References 156
• Conclusions 159
• 5: Conclusion 184
• 6: Acknowledgement 184
• 7: References 185
• Some Statistical Results for Winner-Take-All Networks with Sparse Random Innervation and Coactivity-Based Learning 194
• 1: Introduction 198
• Fixed Point Versus Bifurcation Coupling Among Cubic Neurons 207
• Fixed Point Versus Bifurcation Coupling Among Cubic Neurons 207
• Introduction 207
• Conclusion 210
• Projection Features Using the Discrete & Continuous Wavelet Transform 215
• Function Approximation 230
• Novel Results on Stochastic Modelling Hints for Neural Network Prediction 230
• Learning Quality of Fuzzy Neural Networks 258
• Learning Quality of Fuzzy Neural Networks 258
• References 262
• Index 273

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