Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 3

By Rodney Goodman; Timothy Brown et al. | Go to book overview

Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 3

Edited by Joshua Alspector University of Colorado, Colorado Springs

Rodney Goodman California Institute of Technology

Timothy Brown X University of Colorado, Boulder

LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS 1997 Mahwah, New Jersey

-iii-

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Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 3
Table of contents

Table of contents

  • THE INTERNATIONAL NEURAL NETWORKS SOCIETY SERIES ii
  • Title Page iii
  • Table of Contents: v
  • PREFACE: ix
  • Self Adaptive Network Utilisation 1
  • 1: Introduction 1
  • References 10
  • Neural Networks for Computing Blocking Probabilities in ATM Virtual Subnetworks 11
  • 1: Introduction 11
  • Conclusion 17
  • Acknowledgement 18
  • References 18
  • Generation of ATM Video Traffic Using Neural Networks 19
  • 1: Introduction 19
  • 4: Conclusions 25
  • Acknowledgement 25
  • References 25
  • Fuzzy Mean Flow Estimation with Neural Networks for Multistage ATM Systems 27
  • 1: Introduction 27
  • References 35
  • Model Generation of Aggregate ATM Traffic Using a Neural Control with Accelerated Self-Scaling 36
  • 1: Introduction 36
  • 5: Conclusions 43
  • Acknowledgment 44
  • References 44
  • Dynamic Routing in ATM Networks with Effective Bandwidth Estimation by Neural Networks 45
  • 1: Introduction 45
  • 5: Conclusion 52
  • References 52
  • Control of Self-Similar ATM Call Traffic by Reinforcement Learning 54
  • 1: Introduction 54
  • 6: Conclusion 61
  • Acknowledgements 62
  • References 62
  • Towards a Hardware Implementation of Reinforcement Learning for Call Admission Control in Networks for Integrated Services 63
  • 1: Introduction 63
  • 5: Conclusion 69
  • References 70
  • ATM Connection Admission Control using Modular Neural Networks 71
  • 1: Introduction 71
  • References 78
  • Admission Control in ATM Networks using Fuzzy-ARTMAP 79
  • 1: Introduction 79
  • 6: Conclusions and Future Work 86
  • Acknowledgements 87
  • References 87
  • Bandwidth Dimensioning for Data Traffic 88
  • 1: INTRODUCTION 88
  • References 96
  • ATM Traffic Policing Using a Classifier System 97
  • 1: Introduction 97
  • References 106
  • Techniques for Telecommunications Fraud Management 107
  • 1: Introduction 107
  • References 115
  • Employing Remote Monitoring and Artificial Intelligence Techniques to Develop the Proactive Network Management 116
  • Abstract 116
  • 1: Introduction 117
  • References 123
  • Local Diagnosis for Real-Time Network Traffic Management 124
  • 1: Introduction 124
  • 4: Conclusion 129
  • Acknowledgements 129
  • References 130
  • Intelligent Capacity Evaluation/Planning with Neural Network Clustering Algorithms 131
  • 1: Introduction 131
  • References 138
  • Neural Networks For Network Topological Design 140
  • 1: Introduction 140
  • References 148
  • Overload Control for Distributed Call Processors Using Neural Networks 149
  • 1: Introduction 149
  • References 155
  • Traffic Trends Analysis using Neural Networks 157
  • Learning Customer Profiles to Generate Cash over the Internet 165
  • 1: Introduction 165
  • 5: Conclusion 170
  • Acknowledgements 170
  • References 170
  • KEYWORD SEARCH IN HANDWRITTEN DOCUMENTS 171
  • Abstract 171
  • 1: Introduction 172
  • 5: Conclusions 179
  • Acknowledgment 180
  • References 180
  • Face Recognition Using Hierarchical Neural Networks 181
  • 1: Introduction 181
  • References 185
  • Query Word-Concept Clusters in a Legal Document Collection 189
  • Abstract 189
  • 2: Introduction 190
  • 5: Conclusion 195
  • References 196
  • A Space-based Radio Frequency Transient Event Classifier 198
  • 1: Introduction 198
  • References 205
  • Neural Networks for Location Prediction in Mobile Networks 207
  • 1: Introduction 207
  • References 214
  • Reinforcement Learning and Supervised Learning Control of Dynamic Channel Allocation for Mobile Radio Systems 215
  • 1: Introduction 215
  • 7: Summary 223
  • References 223
  • Equalisation of Rapidly Time-Varying Channels Using an Efficient RBF Neural Network 224
  • 1: Introduction 224
  • 6: Conclusions 231
  • References 231
  • Equalization and the Impulsive MOOSE: Fast Adaptive Signal Recovery in Very Heavy Tailed Noise 232
  • 1: Introduction 232
  • 6: Conclusion 240
  • References 240
  • Neural Receiver Structures based on Self-Organizing Maps in nonlinear multipath channels 241
  • 1: Introduction 241
  • 4: Conclusion 246
  • Acknowledgement 247
  • References 247
  • Using Neural Networks for Alarm Correlation in Cellular Phone Networks 248
  • 1: Introduction 248
  • Acknowledgements 255
  • References 255
  • A Novel Microsatellite Control System 256
  • 1: Introduction - Biomorphic Design 256
  • 4: Summary 261
  • A Appendix 262
  • A Appendix 263
  • Neural Networks for Resource Allocation in Telecommunication Networks 265
  • 1: Introduction 265
  • 4: Conclusions 272
  • Acknowledgment. 272
  • References 272
  • New Q-routing Approaches to Adaptive Traffic Control1 274
  • 1: Introduction 274
  • Acknowledgements 280
  • References 280
  • Neural Network Aided Soft Decision Decoding of Block Codes with Random Percentage Training 282
  • 1: Introduction 282
  • 5: Conclusion 286
  • References 286
  • Author Index 289
  • Subject Index 291
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