Human Face Recognition Using Third-Order Synthetic Neural Networks, Okechukwu A. Uwechue; Abhijit S. Pandya

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Gerard Chollet; Maria-Gabriella Di Benedetto; Anna
Название: Speech Processing, Recognition and Artificial Neural Networks
ISBN: 1852330945 ISBN-13(EAN): 9781852330941
Издательство: Springer
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Описание: Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Auditory and Neural Network Models for Speech;

Автор: Adrian J. Shepherd
Название: Second-Order Methods for Neural Networks
ISBN: 3540761004 ISBN-13(EAN): 9783540761006
Издательство: Springer
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Описание: This volume aims to develop understanding of theoretical and practical issues involved in the development of efficient MLP training strategies, and to describe and evaluate the performance of a wide range of specific training algorithm. Special emphasis is placed on strong theoretical foundation.