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Genetische und evolutionäre Berechnung Ser.: Adaptives Lernen von Polynomen...

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104,47 €

This textbook titled "Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods" is a comprehensive guide to genetic and evolutionary computation in the field of genetics. Published by Springer in 2006, this book is a hardcover format and has 316 pages. Written by Hitoshi Iba and Nikolay Y. Nikolaev, it covers topics such as genetic programming, backpropagation, and Bayesian methods in detail. The book belongs to the Genetic and Evolutionary Computation Series and is an excellent resource for anyone interested in genetics and computational biology. It is 9.3 inches in length, 6.1 inches in width, and 0.4 inches in height. With a weight of 50.4 oz, it is a valuable addition to any academic library or personal collection.

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