Adaptive neurofuzzy ANFIS modeling of laser surface treatments

被引：15

作者：

Antonio Perez, Jose ^{[1
]}

Gonzalez, Manuel ^{[1
]}

Dopico, Daniel ^{[1
]}

机构：

[1] Univ A Coruna, Dept Ind Engn 2, Escuela Politecn Super, La Coruna 15403, Spain

来源：

NEURAL COMPUTING & APPLICATIONS | 2010年 / 19卷 / 01期

关键词：

Neurofuzzy modeling of nonlinear processes; Laser materials processing applications; Surface heat treatments; Process monitoring and control; FUZZY-LOGIC CONTROLLER; HEAT-TREATMENTS; SYSTEMS;

D O I：

10.1007/s00521-009-0259-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：85 / 90

页数：6

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