Matching decision method for knowledgeable manufacturing system and its production environment-Reference-Cited by-同舟云学术

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Matching decision method for knowledgeable manufacturing system and its production environment

Published:2016-11-24 Issue:2 Volume:30 Page:771-782
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Yan Hong-Sen,Wang Yu-Fang

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Natural Science Foundation of the Higher Education Institution of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/article/10.1007/s10845-016-1283-1/fulltext.html

Reference49 articles.

1. Ban, A. I. (2009). Triangular and parametric approximations of fuzzy numbers: Inadvertences and corrections. Fuzzy Sets and Systems, 160(21), 3048–3058.

2. Bordoloi, D. J., & Tiwari, R. (2014). Optimum multi-fault classification of gears with integration of evolutionary and SVM algorithms. Mechanism and Machine Theory, 73, 49–60.

3. Bosque, G., Del Campo, I., & Echanobe, J. (2014). Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades. Engineering Applications of Artificial Intelligence, 32, 283–331.

4. Brezak, D., Majetic, D., Udiljak, T., & Kasac, J. (2012). Tool wear estimation using an analytic fuzzy classifier and support vector machines. Journal of Intelligent Manufacturing, 23(3), 797–809.

5. Caydas, U., & Ekici, S. (2012). Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel. Journal of Intelligent Manufacturing, 23(3), 639–650.

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