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...
保存先:
| 第一著者: | |
|---|---|
| 団体著者: | |
| その他の著者: | , |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| シリーズ: | Lecture notes in physics
522 |
| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Scientific applications of neural nets, éd. John W. Clark, Manfred L. Ristig, Thomas Lindenau, Berlin, Springer, 1999, 1 vol. (XIII-288 p.), Lecture notes in physics, 3-540-65737-1 • Scientific Applications of Neural Nets, Texte imprimé, 9783662142349 • Scientific Applications of Neural Nets, Texte imprimé, 9783662142356 |
目次:
- 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.