Neural Networks in Telecommunications

This book consists of an edited collection of chapters providing 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 solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool used by telecommunications engineers. 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 straight-forward heuristic, or rule-based, solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications.
This study is designed for engineers and managers in telecommunications, it aims to provide a single point of access to the work being done by leading researchers in this field, and to furnish the reader with an in-depth description of neural network applications.