Scientific Applications of Neural Nets

John W. Clark

ISBN 10: 366214235X / ISBN 13: 9783662142356

Published by Springer, Springer Berlin Heidelberg Apr 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students. The pedagogically written review articles range over a variety of fields including astronomy, nuclear physics, experimental particle physics, bioinformatics, linguistics, and information processing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

Seller Inventory # 9783662142356

Bibliographic Details

• Title: Scientific Applications of Neural Nets
• Publisher: Springer, Springer Berlin Heidelberg Apr 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 366214235X
• ISBN 13: 9783662142356
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 470 grams

About this title

Synopsis

Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students. The pedagogically written review articles range over a variety of fields including astronomy, nuclear physics, experimental particle physics, bioinformatics, linguistics, and information processing.