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Scientific Applications of Neural Nets -

Scientific Applications of Neural Nets

Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11–13 May 1998
Buch | Softcover
XIII, 290 Seiten
2014 | 1. Softcover reprint of the original 1st ed. 1999
Springer Berlin (Verlag)
978-3-662-14235-6 (ISBN)
CHF 74,85 inkl. MwSt
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.

Neural networks: New tools for modelling and data analysis in science.- Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction.- Nuclear physics with neural networks.- Using neural networks to learn energy corrections in hadronic calorimeters.- Neural networks for protein structure prediction.- Evolution teaches neural networks to predict protein structure.- An application of artificial neural networks in linguistics.- Optimization with neural networks.- Dynamics of networks and applications.

Erscheint lt. Verlag 17.4.2014
Reihe/Serie Lecture Notes in Physics
Zusatzinfo XIII, 290 p. 78 illus., 6 illus. in color.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 444 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Physik / Astronomie Theoretische Physik
Naturwissenschaften Physik / Astronomie Thermodynamik
Schlagworte Bioinformatics • Calculus • Modeling • Networks • Optimization
ISBN-10 3-662-14235-X / 366214235X
ISBN-13 978-3-662-14235-6 / 9783662142356
Zustand Neuware
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