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

By Joshua Alspector; Rodney Goodman et al. | Go to book overview

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

Edited by

Joshua Alspector Bell Communications Research

Rodney Goodman California Institute of Technology

Timothy Brown X Bell Communications Research

LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS 1993 Hillsdale, New Jersey Hove and London

-iii-

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

Table of contents

  • Title Page iii
  • Table of Contents: v
  • Preface: ix
  • Programmable Vlsi Neural Network Processors for Equalization of Digital Communication Channels 1
  • 1: Introduction 1
  • 4: Conclusions 8
  • References 9
  • An Analog Neural-Network Co-Processor System for Rapid Prototyping of Telecommunications Applications 13
  • Abstract 13
  • 1: Introduction 14
  • 7: Conclusions 18
  • References 19
  • Improving Conventional Equalizers with Neural Networks 20
  • 1: Introduction 20
  • 5: Conclusions 25
  • References 25
  • Neural Networks for Adaptive Equalization 27
  • 1: Introduction 27
  • 5: Conclusions: 32
  • References 33
  • Applications of Learning Techniques to Network Management 34
  • 4: Conclusions 44
  • References 44
  • A Distributed Reinforcement Learning Scheme for Network Routing 45
  • 1: Introduction 45
  • 4: Conclusion 49
  • References 50
  • Discovering the Structure of A Self- Routing Interconnection Network with A Recurrent Neural Network 52
  • 1: Introduction 52
  • 5: Conclusions 57
  • References 58
  • Implementing the Optimal Cdma Multiuser Detector with Hopfield Neural Networks 60
  • 1: Introduction-Background 60
  • References 65
  • References 66
  • Scheduling Problems in Radio Networks Using Hopfield Networks 67
  • Abstract 67
  • References 74
  • A Hybrid Admission Control Scheme for Broadband Atm Traffic 77
  • 1: Introduction 77
  • References 84
  • Neural Networks for Atm Multimedia Traffic Prediction 85
  • Abstract 85
  • 4: Conclusions 89
  • References 90
  • Table Structure Interpretation and Neural Network Based Text Recognition for Conversion of Telephone Company Tabular Drawings 92
  • 1: Introduction 92
  • 5: Conclusion 98
  • References 98
  • Arabic Character Recognition System Using Artificial Neural Network 99
  • 1: Introduction 99
  • References 104
  • References 105
  • Constrained Optimisation for Switching Using Neural Networks 106
  • 1: Introduction 106
  • Acknowledgment 111
  • References 111
  • Atm Cell Scheduling for Broadband Switching Systems by Neural Network 112
  • 1: Introduction 112
  • 4: Conclusion 117
  • References 118
  • Using Genetic Algorithms to Design Constant Weight Codes 119
  • 1: Introduction 119
  • 4: Conclusions 124
  • Acknowledgement 124
  • References 124
  • Bootstrap Methods in Neural Network Time Series Prediction 125
  • Abstract 125
  • 5: Conclusion 129
  • Acknowledgements 130
  • References 130
  • 16kb / S Adaptive Differential Pulse Code Modulation of Speech 132
  • 1: Introduction 132
  • Concluding Remarks 137
  • References 137
  • Adapting-Size Neural Network for Character Recognition on X-Ray Films 139
  • 1: Introduction 139
  • 4: Conclusions 145
  • Acknowledgments 145
  • References 146
  • Diagnosis of Technical Equipment Using A Bayesian Neural Network 147
  • 1: Introduction 147
  • 6: Conclusions 152
  • Acknowledgments 153
  • References 153
  • A Connectionist Approach for Incorporating Continuous Code Churn into Software Reliability Growth Models 154
  • 1: Introduction 154
  • 5: Conclusion 159
  • References 160
  • Real-Time Identification of Language from Raw Speech Waveforms 161
  • 1: Introduction 161
  • Conclusions 165
  • Acknowledgements 166
  • References 166
  • Cubicort: A Simulation of A Multicolumn Model for 3d Image Analysis, Understanding & Compression for Digital Tv, Hdtv & Multimedia 168
  • 1: Introduction 168
  • 4: Conclusion 175
  • Acknowledgements 175
  • References 175
  • Self-Organizing Finite State Vector Quantization for Image Coding 176
  • 1: Introduction 176
  • References 182
  • A Learning Model for Adaptive Network Routing 183
  • 1: Introduction 183
  • 5: Conclusion and Current Work 187
  • References 187
  • Multilayer Perceptron Based Equalizers Applied to Nonlinear Channels 188
  • 1: Introduction 188
  • 5: Conclusions 195
  • References 195
  • Quo Vadis -- A Framework for Adaptive Routing in Very Large Communication Networks 196
  • References 202
  • Hopfield Optimization Techniques Applied to Routing in Computer Networks 203
  • 4: Conclusion 209
  • Acknowledgements 209
  • References 209
  • Atm Call Control by Neural Networks 210
  • 1: Introduction 210
  • 4: Conclusions 216
  • References 217
  • Channel Equalization by Distribution Learning: the Least Relative Entropy Algorithm 218
  • Abstract 218
  • 1: Introduction 219
  • References 222
  • Optimal Traffic Routing Using Self-Organization Principle 225
  • 1: Introduction 225
  • 4: Conclusion 229
  • References 231
  • Prediction of Access LIne Growth 232
  • Abstract 232
  • 3: Conclusions and Future Work 235
  • References 236
  • Toll-Fraud Detection 239
  • 1: Introduction 239
  • 7: Conclusions 244
  • 1: Introduction 244
  • Multistage Information Filtering Using Cascaded Neural Networks 245
  • 1: Introduction 245
  • 4: Conclusions 251
  • References 251
  • Temporal Difference Learning Applied to Continuous Speech Recognition 252
  • 1: Introduction 252
  • 5: Conclusions 256
  • References 257
  • Vector Quantization Using Tree-Structured Self-Organizing Feature Maps 259
  • 1: Introduction 259
  • 4: Conclusions 264
  • Acknowledgements 265
  • References 265
  • Identifying Fault-Prone Software Modules Using Connectionist Networks 266
  • Abstract 266
  • 6: Conclusion 272
  • References 272
  • Clone Detection in Telecommunications Software Systems: A Neural Net Approach 273
  • Abstract 273
  • 7: Conclusions 280
  • Acknowledgments 280
  • References 280
  • Learning Index Rules and Adaptation Functions for A Communications Network Fault Resolution System 281
  • 1: Introduction 281
  • 4: Conclusion 285
  • References 286
  • Using Distributed Neural Networks to Identify Faults in Switching Systems 288
  • 1: Introduction 288
  • 5: Conclusion 296
  • Acknowledgements 296
  • References 296
  • A Neural Network Pre-Processor for A Fault Diagnosis Expert System 297
  • 1: Introduction 297
  • 6: Conclusions 305
  • References 305
  • Author Index 306
  • Subject Index 308
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