Using soft computing methods as an effective tool in predicting surface roughness
The aim of this research is to compare between two different approaches in predicting and modeling the surface roughness in high speed hard turning: regression analysis approach and soft computing approach. Three different soft computing techniques have been applied: Support vector machine (SVM,) Ex...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers, Inc.
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/46494/ http://irep.iium.edu.my/46494/ http://irep.iium.edu.my/46494/ http://irep.iium.edu.my/46494/1/46494_using_soft_computing.pdf http://irep.iium.edu.my/46494/4/46494-Using%20soft%20computing%20methods%20as%20an%20effective%20tool%20in%20predicting%20surface%20roughness_SCOPUS.pdf |
Internet
http://irep.iium.edu.my/46494/http://irep.iium.edu.my/46494/
http://irep.iium.edu.my/46494/
http://irep.iium.edu.my/46494/1/46494_using_soft_computing.pdf
http://irep.iium.edu.my/46494/4/46494-Using%20soft%20computing%20methods%20as%20an%20effective%20tool%20in%20predicting%20surface%20roughness_SCOPUS.pdf