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Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields
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The human brain, wi th its hundred billion or more neurons, is both one of the most complex systems known to man and one of the most important. The last decade
Self-Organizing Maps
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The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Serie
Soft Computing Approach to Pattern Recognition and Image Processing
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This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and
Pattern Recognition Using Neural Networks
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Authors: Carl G. Looney
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Pattern recognizers evolve across the sections into perceptrons, a layer of perceptrons, multiple-layered perceptrons, functional link nets, and radial basis fu