'... highly recommended ... could become a scientific bestseller ...' Spectroscopy Europe This self-study guide leads both students and professionals surely and swiftly from introductory principles to practical applications of neural networks. It will enable readers to apply them to their problems, either with a commercial neural network package or with a self-made program. The first part of the book describes the fundamental principles. It pinpoints the five most widely used neural networks and learning strategies, ...
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'... highly recommended ... could become a scientific bestseller ...' Spectroscopy Europe This self-study guide leads both students and professionals surely and swiftly from introductory principles to practical applications of neural networks. It will enable readers to apply them to their problems, either with a commercial neural network package or with a self-made program. The first part of the book describes the fundamental principles. It pinpoints the five most widely used neural networks and learning strategies, illustrated with lucid examples. The second part helps chemists to get a grip on neural networks by showing them numerous applications from diverse fields: - analytical chemistry and spectroscopy - process control and optimization of product composition - reactivity of organic compounds and QSAR - maps of electrostatic potentials - secondary structures of proteins 'The attractive and clear presentation of this book make it recommendable for the complete novice.' The Analyst
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Add this copy of Neural Networks for Chemists: an Introduction to cart. $37.34, good condition, Sold by Anybook rated 5.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1993 by Wiley-VCH.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 900grams, ISBN: 3527286039.
