ABSTRACT

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.

chapter 23|8 pages

Cubicort

A Simulation of a Multi-column Model for 3D Image Analysis, Understanding & Compression for Digital TV, HDTV & Multimedia

chapter 30|7 pages

Channel Equalization by Distribution Learning

The Least Relative Entropy Algorithm

chapter 33|6 pages

Toll-Fraud Detection

chapter 38|8 pages

Clone Detection in Telecommunications Software Systems

A Neural Net Approach