The use of improved algorithm of adaptive neuro-fuzzy inference system in optimization of machining parameters-Reference-Cited by-同舟云学术

The use of improved algorithm of adaptive neuro-fuzzy inference system in optimization of machining parameters

Published:2020-04-30 Issue:4 Volume:38 Page:3755-3764
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Chen Ying¹,Qi Pengyuan²,Liu Songqing¹

Affiliation:

1. College of Mechanical Engineering, Jilin Teachers Institute of Engineering and Technology, Changchun, Jilin, China

2. Department of Materials Science and Engineering, Yingkou Institute of Technology, Yingkou, Liaoning, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. Optimization of CO2 Laser Cutting parameters using adaptive neuro-fuzzy inference system (anfis);Baldovino;Journal of Telecommunication Electronic and Computer Engineering (JTEC),2018

2. Predictive modeling of surface roughness in mql assisted turning of sic-al alloy composites using artificial neural network and adaptive neuro fuzzy inference system;Karim;Journal of Advanced Research in Manufacturing Material Science & Metallurgical Engineering,2018

3. End wear compensation during planetary edm of ti–6al–4v by adaptive neuro fuzzy inference system;Mathai;Production Engineering,2018

4. Forward and reverse mapping of multiresponses turning process using adaptive network-based fuzzy inference system and simulated annealing algorithm;Teimouri;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2018

5. Comparative study of ANN and ANFIS models for predicting temperature in machining;Masoudi;Journal of Engineering Science and Technology,2018

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