GENETIC PROGRAMING MODELING FOR NUCLEUS–NUCLEUS COLLISIONS

DOI10.1142/S0129183109014758zbMath1182.82009MaRDI QIDQ3405950

El-Sayed A. El-Dahshan, Mahmoud Y. Elbakry, Amr Radi

Publication date: 12 February 2010

Published in: International Journal of Modern Physics C (Search for Journal in Brave)

zbMATH Keywords

high energy physicsheavy ion collisionsgenetic programing

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Interacting particle systems in time-dependent statistical mechanics (82C22) Nuclear physics (81V35)

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Radial basis function neural network model for mean velocity and vorticity of capillary flow ⋮ Modeling of Transverse Momentum Spectra for Charged Particles in Proton–Proton Collisions Based on Soft Computing Approaches

Cites Work

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• Feed forward neural networks modeling for K--P interactions
• GENETIC PROGRAMMING FOR HADRONIC INTERACTIONS AT HIGH ENERGIES
• ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM HYBRID TECHNIQUE FOR NUCLEUS–NUCLEUS COLLISIONS

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