Feed forward neural networks modeling for K--P interactions
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Publication:1433794
DOI10.1016/S0960-0779(03)00068-7zbMath1084.81510MaRDI QIDQ1433794
Publication date: 1 July 2004
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Nuclear physics (81V35) Strong interaction, including quantum chromodynamics (81V05) Neural nets applied to problems in time-dependent statistical mechanics (82C32)
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Radial basis function neural network model for mean velocity and vorticity of capillary flow ⋮ Artificial neural network approaches for prediction of backwater through arched bridge constrictions ⋮ A STUDY OF K–P INTERACTION AT HIGH ENERGY USING ADAPTIVE FUZZY INFERENCE SYSTEM INTERACTIONS ⋮ GENETIC PROGRAMMING FOR HADRONIC INTERACTIONS AT HIGH ENERGIES ⋮ REPRESENTATION FOR DISPERSION FORMULA OF OPTICAL FIBER USING HYBRID TECHNIQUE ⋮ ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM HYBRID TECHNIQUE FOR NUCLEUS–NUCLEUS COLLISIONS ⋮ GENETIC PROGRAMING MODELING FOR NUCLEUS–NUCLEUS COLLISIONS
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