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Springer From Statistics to Neural Networks: Theory and Pattern Recognition Applications: 136 (NATO ASI Subseries F:, 136)

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Description

This volume provides a unified approach to the study of predictive learning. It contains papers on major aspects of statistical and neural network learning, their links to biological learning and nonlinear dynamics (chaos), and real-life examples of pattern recognition applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 December 2011
Listed Since
13 July 2012

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