Handbook of Neural Computation

Emile Fiesler Research Director, Institut Dalle Molle ^Intelligence Artificielle Perceptive (IDIAP), Martigny, Switzerland, Russell Beale Lecturer in Computer Science, University of Birmingham, United Kingdom.

• Foreword by James A Anderson. Part A: Introduction. Part B: Fundamental concepts of neural computation. Part C: Neural network models. Part D: Hybrid models. Part E: Neural network implementations. Part F: Neural network applications. Part G: Neural networks in practice. Part H: Directions for future research. Part X: Appendices.

"One can be sure that any essential aspect of computation technology based on neural networks will be represented somewhere in this volume, greatly reducing the need to check numerous sources for relevant information. The quality of the writing and editing is outstanding, and the contents, which are based on recent results and experience of distinguished experts in the field, are very up-to-date. … the handbook constitutes a source of inspiration for practitioners and for experts in computational system applications whose value is hard to overestimate …"-Neurocomputing"A wonderful concept well implemented in its initial stage, this handbook is both a place to start in neural networks and a place to grow with this dynamic field. I look forward to future additions of the same high quality and readability."-H. John Caulfield"Let me congratulate you on an excellent book-it will be of great value to the community of neural network researchers, and I find it invaluable."-John Taylor