Neural network approach to parton distributions fitting
We will show an application of neural networks to extract informations 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...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2006
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