This textbook offers chemists insights into the much discussed - and often not fully understood - concept of neural networks. It starts by describing the fundamental principles, and pinpoints the five most widely used neural networks and learning strategies, illustrating them with lucid examples. The second part of the book helps chemists to get a grip on neural networks by showing them numerous applications from diverse fields. These include analytical chemistry and spectroscopy; process control and optimization of product composition; reactivity of organic compounds and QSAR; maps of electrostatic potentials; and secondary structures of proteins. This self-study guide leads both students and professionals from introductory principles to practical application. It aims to enable readers to apply neural networks to their problems, either with a commercial neural network package or with a self-made programme.
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Good. 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. N° de réf. du vendeur 9847950
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Vendeur : Martin Preuß / Akademische Buchhandlung Woetzel, Kerzenheim, Allemagne
03. Etat : Neu. 305 S., 202 Abb., 47 Tab. This book gives chemists insight into the much discussed concept of neural networks. The authors pinpoint the five most widely used neural networks and learning strategies, illustrating them with lucid examples. The second part of the book helps chemists to get a grip on neutral networks by showing them numerous applications from diverse fields:. Sprache: Deutsch. N° de réf. du vendeur 15186
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 305 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. N° de réf. du vendeur 42374151/202
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