Scientific Applications of Neural Nets Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May 1998 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Clark, John W. (Editor, http://id.loc.gov/vocabulary/relators/edt), Lindenau, Thomas (Editor, http://id.loc.gov/vocabulary/relators/edt), Ristig, Manfred L. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
• Edition: 1st ed. 1999.
• Series: Lecture Notes in Physics, 522
• Subjects: Statistical physics.; Dynamical systems.; Nuclear physics.; Artificial intelligence.; Complex Systems.; Particle and Nuclear Physics.; Artificial Intelligence.; Statistical Physics and Dynamical Systems.

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 com...

Table of Contents:

• 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.