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Neural network approach to parton distributions fitting
We will show an application of neural networks to extract information on the structure of hadrons. A Monte Carlo over experimental data is performed to correctly reproduce data errors and correlations. A neural network is then trained on each Monte Carlo replica via a genetic algorithm. Results on t...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2005
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2005.11.206 http://cds.cern.ch/record/882738 |