“A Hybrid Technique Modeling for High Energy Hadron-Nucleus Interactions”

Abstract

The present thesis is devoted to study theoretically the high energy hadron- nucleus interactions at high energies. The Research plan is prepared as follows: 1-Collecting the available experimental data for hadron- nucleus interactions at high energies. 2-Study of the proposed computational models which explain these interactions. 3-Study of the artificial neural network (ANN) model to describe hadron- nucleus interactions at high energies. 4-Study of the genetic programming (GP) model to describe Hadron- nucleus interactions at high energies. 5-Applying the evolutionary neural network model (hybrid technique, HT) to explain the corresponding measurements. 6-Comparison between the models predictions and the corresponding experimental data. 7-Prediction of the experimental data using ANN, GP and HT model.

Key Words: Particle Physics, ANN Model, GP Model, HT Model.