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...
| Corporate Authors: | , |
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| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
1999.
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| Series: | Lecture notes in physics ;
522. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Neural Networks: New Tools for Modeling 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.