scholarly journals 2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 ◽  
Vol 29 (12) ◽  
pp. 3953-4017
2001 ◽  
Vol 32 (7) ◽  
pp. 915-924 ◽  
Jun Yoneyama ◽  
Masahiro Nishikawa ◽  
Hitoshi Katayama ◽  
Akira Ichikawa

2011 ◽  
Vol 7 (2) ◽  
pp. 102-106 ◽  
Taqwa Odey Fahad ◽  
Abduladhim A. Ali

2013 ◽  
Vol 58 (3) ◽  
pp. 871-875
A. Herberg

Abstract This article outlines a methodology of modeling self-induced vibrations that occur in the course of machining of metal objects, i.e. when shaping casting patterns on CNC machining centers. The modeling process presented here is based on an algorithm that makes use of local model fuzzy-neural networks. The algorithm falls back on the advantages of fuzzy systems with Takagi-Sugeno-Kanga (TSK) consequences and neural networks with auxiliary modules that help optimize and shorten the time needed to identify the best possible network structure. The modeling of self-induced vibrations allows analyzing how the vibrations come into being. This in turn makes it possible to develop effective ways of eliminating these vibrations and, ultimately, designing a practical control system that would dispose of the vibrations altogether.

2003 ◽  
Vol 08 (01) ◽  
J. Lambert ◽  
A. Kandel ◽  
M. Schneider

Renata Bernardes ◽  
Bruno Luiz Pereira ◽  
Felipe Machini Malachias Marques ◽  
Roberto Mendes Finzi Neto

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