Enhancement in manufacturing systems using Grey-Fuzzy and LK-SVM approach-Reference-Cited by-同舟云学术

Enhancement in manufacturing systems using Grey-Fuzzy and LK-SVM approach

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT)
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Author:

Latchoumi T.P.¹,Kalusuraman G.²,Banu J. Faritha¹,Yookesh T.L.³,Ezhilarasi T.P.⁴,Balamurugan K.⁵

Affiliation:

1. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of Agricultural Engineering,Anand nagar Krishnankoil,Tamilnadu,India

3. VFSTR (Deemed to be University),Department of Science and Humanities,Guntur,Andhra Pradesh,India

4. Research Scholar, Saveetha University,Department of Computer Science and Engineering,Kuthambakkam,Tamil Nadu,India

5. VFSTR (Deemed to be University),Department of Mechanical Engineering,Guntur,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718562/9719329/09719402.pdf?arnumber=9719402

Reference27 articles.

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2. Fuzzy grey relational analysis for influencing factors of heat transfer in a blast furnace hearth;zhu;Ironmaking and Steelmaking,2017

3. A combined thermal power plant investment decision-making model based on intelligent fuzzy grey model and ito stochastic process and its application;li;Energy,2018

4. A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting

5. Application of Grey-Fuzzy Approach for Optimization of CNC Turning Process

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