期刊
NEURAL COMPUTING & APPLICATIONS
卷 19, 期 1, 页码 85-90出版社
SPRINGER
DOI: 10.1007/s00521-009-0259-x
关键词
Neurofuzzy modeling of nonlinear processes; Laser materials processing applications; Surface heat treatments; Process monitoring and control
This paper introduces a new ANFIS adaptive neurofuzzy inference model for laser surface heat treatments based on the Green's function. Due to its high versatility, efficiency and low simulation time, this model is suitable not only for the analysis and design of control systems, but also for the development of an expert real time supervision system that would allow detecting and preventing any failure during the treatment.
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