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Scientific Applications of Neural Nets - Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May 1998 (Paperback, Softcover reprint of the original 1st ed. 1999) Loot Price: R1,561
Discovery Miles 15 610
Scientific Applications of Neural Nets - Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May...

Scientific Applications of Neural Nets - Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May 1998 (Paperback, Softcover reprint of the original 1st ed. 1999)

John W. Clark, Thomas Lindenau, Manfred L Ristig

Series: Lecture Notes in Physics, 522

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Loot Price R1,561 Discovery Miles 15 610 | Repayment Terms: R146 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Physics, 522
Release date: April 2014
First published: 1999
Editors: John W. Clark • Thomas Lindenau • Manfred L Ristig
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Paperback
Pages: 290
Edition: Softcover reprint of the original 1st ed. 1999
ISBN-13: 978-3-662-14235-6
Categories: Books > Science & Mathematics > Physics > Particle & high-energy physics
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-662-14235-X
Barcode: 9783662142356

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