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Springer
From Statistics to Neural Networks : Theory and Pattern Recognition Applications
SR 777
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About this Product
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.
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