An effective LS-SVM-based approach for surface roughness prediction in machined surfaces-Reference-Cited by-同舟云学术

An effective LS-SVM-based approach for surface roughness prediction in machined surfaces

Published:2016-07 Issue: Volume:198 Page:35-39
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhang Nian,Shetty Devdas

Funder

US National Science Foundation

USGS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference17 articles.

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4. ANN based surface roughness prediction in turning of AA 6351;Naidu;Int. J. Eng. Res. Appl.,2013

5. Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel;Caydas;J. Intell. Manuf.,2012

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