Neural Networks In Telecommunications

Neural Networks in Telecommunications

Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.

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

Recently, the telecommunications industry has been exposed to many changes in technology. AT&T is currently experiencing its second divestiture. The internet has grown explosively with enormous numbers of people subscribing to providers such as America On Line. Microsoft, Netscape, and other computer-oriented companies are competing furiously for customers in the on-line world. Customers are having service problems because the network and providers cannot keep up with the ever-growing demand for service. Selling on the internet is ubiquitous with every company and with many individuals having a home page. Anecdotal evidence, however, suggests that almost nobody is making a profit from the growth of the internet. The papers in this collection reflect these changes. They were presented at a meeting of the International Workshop on the Application of Neural Networks to Communications (IWANNT*97). Discussing a wide variety of intelligent system applications, the major theme of the articles is networking, especially the use of ATM technology and the modeling of the resulting traffic. Recurring themes in this conference are routing and resource allocation in all types of communications networks. The collection also contains papers on fault detection, diagnosis, correction, coding and equalization, customer profiling, and pattern recognition.

Neural Networks in Telecommunications