A STUDY OF K–P INTERACTION AT HIGH ENERGY USING ADAPTIVE FUZZY INFERENCE SYSTEM INTERACTIONS

M. Y. El-Bakry ()
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M. Y. El-Bakry: Faculty of Education, P. O. Box 2908, Postal Code 211, Salalah, Sultanate of Oman

International Journal of Modern Physics C (IJMPC), 2004, vol. 15, issue 07, 1013-1020

Abstract: Adaptive Network Fuzzy Inference System (ANFIS) is an artificial intelligence (AI)-based technique that proved efficient in a variety of problems such as classification, recognition and modeling of complex systems. This paper utilizes the adaptive network fuzzy inference system to model the K–P interactions. The ANFIS-based K–P model simulates the multiplicity distribution of charged pions at different high energies. The results showed very accurate fitting to the experimental data recommending it to be a good alternative to other theoretical techniques.

Keywords: Particle physics; high energy; adaptive fuzzy systems; neuro fuzzy (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1142/S0129183104006467

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