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

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.