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Books Books 1 - 10 of about 45 related to Neural Networks for Pattern Recognition.   

Pattern Recognition and Neural Networks

Brian D. Ripley - Computers - 2007 - 403 pages
Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and ...
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Pulsed Neural Networks

Wolfgang Maass, Christopher M. Bishop - Computers - 2001 - 377 pages
Most practical applications of artificial neural networks are based on acomputational model involving the propagation of continuous variables from one processing unit tothe ...
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Statistical Pattern Recognition

Andrew Webb - Computers - 1999 - 454 pages
From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of ...
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Neural Networks, Issue 124

Herve Abdi, Dominique Valentin, Betty Edelman - Computers - 1999 - 89 pages
Neural networks, adaptive statistical models based on an analogy with the structure of the brain, can be used to estimate the parameters of some population using one (or a few ...
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Neural Networks: A Systematic Introduction

Raśl Rojas - Computers - 1996 - 502 pages
Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the ...
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Neural Networks for Intelligent Signal Processing

Anthony Zaknich - Computers - 2003 - 508 pages
This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been ...
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Statistical Pattern Recognition

Andrew Webb - Computers - 1999 - 454 pages
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Pattern Recognition: Concepts, Methods, and Applications

J. P. Marques de Sa - Computers - 2001 - 318 pages
CD-ROM contains: Datasets -- Software tools.
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Learning and Soft Computing: Support Vector Machines, Neural Networks, and ...

Vojislav Kecman - Computers - 2001 - 541 pages
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are ...
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