ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM HYBRID TECHNIQUE FOR NUCLEUS–NUCLEUS COLLISIONS
Author:
Affiliation:
1. Department of Physics, Faculty of Sciences, Ain Shams University, Abbassia, Cairo, Egypt
2. Department of Physics, Faculty of Education, Ain Shams University, Egypt
Abstract
Publisher
World Scientific Pub Co Pte Lt
Subject
Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Link
https://www.worldscientific.com/doi/pdf/10.1142/S0129183108013382
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1. GENETIC PROGRAMMING FOR HADRONIC INTERACTIONS AT HIGH ENERGIES
2. Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms
3. An integrated approach for optimum design of bridge decks using genetic algorithms and artificial neural networks
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