Scientific Applications of Neural Nets Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11–13 May 1998
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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1999, 1999
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| Edition: | 1st ed. 1999 |
| Series: | Lecture Notes in Physics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
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