Neural Networks and Their Applications

John G Taylor

ISBN 10: 0471962821 / ISBN 13: 9780471962823

Editore: Wiley Aug 1996, 1996

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Neuware - Neural networks are one of the fast-growing paradigms for learning systems with a wide variety of potential applications in industry. In particular there are general results which prove the universal applicability of neural networks to many problems. There is also an ever greater understanding of the underlying manner in which tasks such as classification can be solved optimally by this host of techniques. Through the application of ideas of statistics, dynamical systems theory and information theory the methods are likely to become ever more effective for solving problems previously found to be difficult to tackle using standard techniques. This book compares and contrasts the academic theory and the industrial reality, with case studies and latest research findings from international experts. The contributions describe application areas including finance, digital data transmission, hybrid systems, automotive and aerospace industries, pattern analysis in clinical psychiatry, time series prediction, and genetic and neural algorithms. This book demonstrates the vigour and strength of the subject in solving hard problems and as such will be of great interest to all researchers and professionals with an interest in neural networks.

Codice articolo 9780471962823

Dati bibliografici

• Titolo: Neural Networks and Their Applications
• Editore: Wiley Aug 1996
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 0471962821
• ISBN 13: 9780471962823
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 250 L x 175 A x 22 P (millimetri) 250 millimetri di larghezza per 175 millimetri di altezza per 22 millimetri di profondità
• Peso: 742 grammi

Descrizione articolo

Riassunto

Neural networks are one of the fast-growing paradigms for learning systems with a wide variety of potential applications in industry. In particular there are general results which prove the universal applicability of neural networks to many problems. There is also an ever greater understanding of the underlying manner in which tasks such as classification can be solved optimally by this host of techniques. Through the application of ideas of statistics, dynamical systems theory and information theory the methods are likely to become ever more effective for solving problems previously found to be difficult to tackle using standard techniques. This book compares and contrasts the academic theory and the industrial reality, with case studies and latest research findings from international experts. The contributions describe application areas including finance, digital data transmission, hybrid systems, automotive and aerospace industries, pattern analysis in clinical psychiatry, time series prediction, and genetic and neural algorithms. This book demonstrates the vigour and strength of the subject in solving hard problems and as such will be of great interest to all researchers and professionals with an interest in neural networks.

Informazioni sull?autore

John G. Taylor has been working on consciousness and the mind for many years and has investigated the paranormal, brain imaging, and neural network modeling of brain regions. He is Emeritus Professor of Mathematics at King's College London and is on the Board of Governors of the International Neural Network Society.