A study of K-P interaction at high energy using adaptive fuzzy inference system interactions

被引：5

作者：

El-Bakry, MY ^{[1
]}

机构：

[1] Fac Educ, Salalah 211, Oman

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2004年 / 15卷 / 07期

关键词：

particle physics; high energy; adaptive fuzzy systems; neuro fuzzy;

D O I：

10.1142/S0129183104006467

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1013 / 1020

页数：8

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