Neural Networks for Vision, Speech and Natural Language

Beschreibung

This book is a collection of chapters describing work carried out as part of a large project at BT Laboratories to study the application of connectionist methods to problems in vision, speech and natural language processing. Also, since the theoretical formulation and the hardware realization of neural networks are significant tasks in themselves, these problems too were addressed. The book, therefore, is divided into five Parts, reporting results in vision, speech, natural language, hardware implementation and network architectures. The three editors of this book have, at one time or another, been involved in planning and running the connectionist project. From the outset, we were concerned to involve the academic community as widely as possible, and consequently, in its first year, over thirty university research groups were funded for small scale studies on the various topics. Co-ordinating such a widely spread project was no small task, and in order to concentrate minds and resources, sets of test problems were devised which were typical of the application areas and were difficult enough to be worthy of study. These are described in the text, and constitute one of the successes of the project.

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R. Linggard

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`... admirably clearly written, and well structured throughout...The book succeeds very well in its aims: it does improve on the weaknesses of comparisons between approaches in the literature; it implicitly sets out how industrially oriented research is best carried out; and it presents some interesting, sometimes fascinating new results and approaches.'
Network 3
`This volume collects the more successful case studies from a very large research project at BT Laboratories that set out to investigate the applicability of neural computing to speech, vision and the natural language problems in this application context...of interest to researchers with specialist knowledge of these subjects or, especially, to those with an interest in the application of multi-layer perceptions to practical problems.'
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