MACHINED SURFACE ROUGHNESS PREDICTION USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM-Reference-Cited by-同舟云学术

MACHINED SURFACE ROUGHNESS PREDICTION USING ADAPTIVE NEUROFUZZY INFERENCE SYSTEM

Published:2013-10-21 Issue:9 Volume:27 Page:803-817
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Svalina Ilija,Simunovic Goran,Simunovic Katica

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

http://www.tandfonline.com/doi/pdf/10.1080/08839514.2013.835233

Reference22 articles.

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2. A machinability study of GFRP pipes using statistical techniques

3. Bajić , D. , N. Gjeldum , and I. Veža . 2008 . Examination and modeling of the influence of cutting parameters on the surface roughness in face milling. InProceedings of the 8th international conference on advanced manufacturing systems, 123–133. Udine, IT.

4. Predicting surface roughness in machining: a review

5. Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations

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