THE APPLICATION OF THE GENETIC ALGORITHM-BACK PROPAGATION NEURAL NETWORK ALGORITHM IN THE HIGH-ENERGY PHYSICS

THE APPLICATION OF THE GENETIC ALGORITHM-BACK PROPAGATION NEURAL NETWORK ALGORITHM IN THE HIGH-ENERGY PHYSICS

Multiparticle production mechanism is one of the most phenomena that the high-energy physics concerns. In this work, the evolutionary genetic algorithm (GA) is used to optimize the parameters of the back-propagation neural networks (BPNN). The hybrid evolutionary-neuro model (GA-BPNN) was trained to...

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Bibliographic Details
Main Authors: M. Y. El-Bakry, E. A. El-Dahshan, A. Radi, M. Tantawy, M. A. Moussa
Format: Article
Language:English
Published: V.N. Karazin Kharkiv National University Publishing 2016-08-01
Series:East European Journal of Physics
Subjects:
high and ultrahigh energy physics
hadron-nucleus (h-A) interactions
rapidity distribution
modeling and simulation
hybrid evolutionary-neuro model
Online Access:https://periodicals.karazin.ua/eejp/article/view/6193

Internet

https://periodicals.karazin.ua/eejp/article/view/6193

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