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

Book description

The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better.

On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Table of Contents
  6. Preface
  7. Programmable VLSI Neural Network Processors for Equalization of Digital Communication Channels
  8. An Analog Neural-Network Co-Processor System for Rapid Prototyping of Telecommunications Applications
  9. Improving Conventional Equalizers with Neural Networks
  10. Neural Networks for Adaptive Equalization
  11. Applications of Learning Techniques to Network Management
  12. A Distributed Reinforcement Learning Scheme for Network Routing
  13. Discovering the Structure of a Self-Routing Interconnection Network with a Recurrent Neural Network
  14. Implementing the Optimal CDMA Multiuser Detector with Hopfield Neural Networks
  15. Scheduling Problems in Radio Networks Using Hopfield Networks
  16. A Hybrid Admission Control Scheme for Broadband ATM Traffic
  17. Neural Networks for ATM Multimedia Traffic Prediction
  18. Table Structure Interpretation & Neural Network Based Text Recognition for Conversion of Telephone Company Tabular Drawings
  19. Arabic Character Recognition System Using Artificial Neural Network
  20. Constrained Optimization for Switching Using Neural Networks
  21. ATM Cell Scheduling for Broadband Switching Systems by Neural Network
  22. Using Genetic Algorithms to Design Constant Weight Codes
  23. Bootstrap Methods in Neural Network Time Series Prediction
  24. 16 kbps Adaptive Differential Pulse Code Modulation of Speech
  25. Adapting-Size Neural Network for Character Recognition on X-Ray Films
  26. Diagnosis of Technical Equipment Using a Bayesian Neural Network
  27. A Connectionist Approach for Incorporating Continuous Code Churn into Software Reliability Growth Models
  28. Real-Time Identification of Language from Raw Speech Waveforms
  29. CUBICORT: A Simulation of a Multicolumn Model for 3D Image Analysis, Understanding & Compression for Digital TV, HDTV & Multimedia
  30. Self-Organizing Finite State Vector Quantization for Image Coding
  31. A Learning Model for Adaptive Network Routing
  32. Multilayer Perceptron Based Equalizers Applied to Nonlinear Channels
  33. Quo Vadis - A Framework for Adaptive Routing in Very Large Communication Networks
  34. Hopfield Optimization Techniques Applied to Routing in Computer Networks
  35. ATM Call Control by Neural Networks
  36. Channel Equalization by Distribution Learning: The Least Relative Entropy Algorithm
  37. Optimal Traffic Routing Using Self-Organization Principle
  38. Prediction of Access Line Growth
  39. Toll-Fraud Detection
  40. Multistage Information Filtering Using Cascaded Neural Networks
  41. Temporal Difference Learning Applied to Continuous Speech Recognition
  42. Vector Quantization Using Tree-Structured Self-Organizing Feature Maps
  43. Identifying Fault-Prone Software Modules Using Connectionist Networks
  44. Clone Detection in Telecommunications Software Systems: A Neural Net Approach
  45. Learning Index Rules and Adaptation Functions for a Communications Network Fault Resolution System
  46. Using Distributed Neural Networks to Identify Faults in Switching Systems
  47. A Neural Network Pre-Processor for a Fault Diagnosis Expert System
  48. Author Index
  49. Subject Index

Product information

  • Title: Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications
  • Author(s): Joshua Alspector, Rodney Goodman, Timothy X. Brown
  • Release date: June 2013
  • Publisher(s): Psychology Press
  • ISBN: 9781134786176