Constrained neural classifier training method for flaw detection in industrial pipes using particle swarm optimisation

Q4 Mathematics

International Journal of Innovative Computing and Applications Pub Date : 2022-01-01 DOI:10.1504/ijica.2022.10048940

Maria C. S. Albuquerque, Ivan C. da Silva, C. Farias, P. Farias, E. F. De Simas Filho, Edmar E.P. De Souza, Gilvan Farias Da Silva

引用次数: 0

查看原文本刊更多论文

基于粒子群优化的工业管道缺陷检测约束神经分类器训练方法

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