Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling-Reference-Cited by-同舟云学术

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

Published:2014-01 Issue: Volume:255 Page:121-134
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ren Qun,Balazinski Marek,Baron Luc,Jemielniak Krzysztof,Botez Ruxandra,Achiche Sofiane

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference56 articles.

1. A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization;Abiyev;Applied Soft Computing,2011

2. Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization;Aliev;Information Sciences,2011

3. On the stability of interval type-2 TSK fuzzy logic control systems;Biglarbegian;IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,2010

4. Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: theory and experiments;Biglarbegian;IEEE Transactions on Industrial Electronics,2011

5. Investigation of micro-cutting operations;Chae;Journal of Machine Tools and Manufacture,2006

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