Scientific Applications of Neural Nets

Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11–13 May 1998

John W. Clark, Thomas Lindenau, Manfred L. Ristig (Herausgeber)

Buch | Hardcover

XIII, 290 Seiten

1999 | 1999
Springer Berlin (Verlag)
978-3-540-65737-8 (ISBN)

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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.

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.

Reihe/Serie	Lecture Notes in Physics ; 522
Zusatzinfo	XIII, 290 p. 78 illus., 6 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	534 g
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Astronomie / Astrophysik
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
Schlagworte	Bioinformatics • Calculus • Hardcover, Softcover / Physik, Astronomie/Astronomie • Modeling • Networks • Neuronale Netze • Optimization
ISBN-10	3-540-65737-1 / 3540657371
ISBN-13	978-3-540-65737-8 / 9783540657378
Zustand	Neuware