Fuzzy control mathematical modelling method based on dynamic particle swarm optimisation training

Q4 Mathematics

International Journal of Innovative Computing and Applications Pub Date : 2021-01-01 DOI:10.1504/IJICA.2021.113617

GaoRunxia, JiangHouping

引用次数: 1

Abstract

Aiming at the false correlation problems under set number limit condition in the fuzzy control mathematic modelling process, combined with dynamic particle swarm optimisation training algorithm, th...

查看原文本刊更多论文

基于动态粒子群优化训练的模糊控制数学建模方法

针对模糊控制数学建模过程中存在的集数极限条件下的假相关问题，结合动态粒子群优化训练算法，提出了一种新的模糊控制数学建模方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Innovative Computing and Applications Computer Science-Software

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： IJICA proposes and fosters discussion on all new computing paradigms and corresponding applications to solve real-world problems. It will cover all aspects related to evolutionary computation, quantum-inspired computing, swarm-based computing, neuro-computing, DNA computing and fuzzy computing, as well as other new computing paradigms