期刊
EUROPEAN PHYSICAL JOURNAL PLUS
卷 133, 期 5, 页码 -出版社
SPRINGER HEIDELBERG
DOI: 10.1140/epjp/i2018-12013-3
关键词
-
The aim of this study is to investigate the numerical treatment of the Painleve equation-II arising in physical models of nonlinear optics through artificial intelligence procedures by incorporating a single layer structure of neural networks optimized with genetic algorithms, sequential quadratic programming and active set techniques. We constructed a mathematical model for the nonlinear Painleve equation-II with the help of networks by defining an error-based cost function in mean square sense. The performance of the proposed technique is validated through statistical analyses by means of the one-way ANOVA test conducted on a dataset generated by a large number of independent runs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据