Using soft computing methods as an effective tool in predicting surface roughness

• Main Authors: Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Seder, Amin M. F.
• Format: Conference or Workshop Item
• Language: English; English
• Published: The Institute of Electrical and Electronics Engineers, Inc. 2016
• Subjects: T Technology (General)
• Online Access: 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; http://irep.iium.edu.my/46494/; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7478710&filter%3DAND%28p_IS_Number%3A7478698%29

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...