| Autor: |
Devi, Gitanjali, Sarma, Kandarpa, Datta, Pranayee, Mahanta, Anjana |
| Zdroj: |
Indian Journal of Physics; Jan2012, Vol. 86 Issue 1, p77-84, 8p |
| Abstrakt: |
Traditionally Artificial Neural Network (ANN)s, as non-parametric prediction tools, are used for pattern recognition and related applications but can be modeled for High Energy Particle shower size and core location prediction. The present work describes the use of an ANN based system which has been configured to predict shower sizes in the range 10-10 eV and core locations of twenty events. The system receives density values as inputs and generates shower sizes for 20 core positions and predicts the coordinates of the locations. The results derived with variations of input upto 50% show success rates in the range of 90s. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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