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Volumn 52, Issue 8, 2017, Pages 1989-1991

A note of hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining

Author keywords

Abrasive; Grey relation analysis; Machining; Roughness; Support vector machine; Surface; Water jet

Indexed keywords

ABRASIVES; FORECASTING; JETS; MACHINING; SUPPORT VECTOR MACHINES; SURFACE ROUGHNESS; SURFACES;

EID: 84991628968     PISSN: 00256455     EISSN: 15729648     Source Type: Journal    
DOI: 10.1007/s11012-016-0542-8     Document Type: Note
Times cited : (5)

References (6)
  • 1
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    • Effect of traverse speed on abrasive waterjet machining of Ti-6A1-4V alloy
    • Hascalik A, Caydas H, Gurun H (2007) Effect of traverse speed on abrasive waterjet machining of Ti-6A1-4V alloy. Mater Des 28:1953–1957
    • (2007) Mater Des , vol.28 , pp. 1953-1957
    • Hascalik, A.1    Caydas, H.2    Gurun, H.3
  • 2
    • 42949106000 scopus 로고    scopus 로고
    • A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method
    • Caydas U, Hascalik A (2008) A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method. J Mater Process Technol 202:574–582
    • (2008) J Mater Process Technol , vol.202 , pp. 574-582
    • Caydas, U.1    Hascalik, A.2
  • 3
    • 80053564102 scopus 로고    scopus 로고
    • Optimization of process parameters in the abrasive waterjet machining using integrated SA-GA
    • Zain AM, Haron H, Sharif S (2011) Optimization of process parameters in the abrasive waterjet machining using integrated SA-GA. Appl Soft-Comput 11:5350–5359
    • (2011) Appl Soft-Comput , vol.11 , pp. 5350-5359
    • Zain, A.M.1    Haron, H.2    Sharif, S.3
  • 4
    • 84861825793 scopus 로고    scopus 로고
    • Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process
    • Wibowo A, Desa MI (2012) Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process. Expert Syst Appl 39:11634–11641
    • (2012) Expert Syst Appl , vol.39 , pp. 11634-11641
    • Wibowo, A.1    Desa, M.I.2
  • 5
    • 84884209842 scopus 로고    scopus 로고
    • Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining
    • Deris AM, Zain AM, Sallehuddin R (2013) Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining. Meccanica 48:1937–1945
    • (2013) Meccanica , vol.48 , pp. 1937-1945
    • Deris, A.M.1    Zain, A.M.2    Sallehuddin, R.3
  • 6
    • 84936101762 scopus 로고    scopus 로고
    • Improvement of adaptive GAs and back propagation ANNs performance in condition diagnosis of multiple bearing system using grey relational analysis
    • Wulandhari LA, Wibowo A, Desa MI (2014) Improvement of adaptive GAs and back propagation ANNs performance in condition diagnosis of multiple bearing system using grey relational analysis. Comput Intell Neurosci 2014:419743. doi:10.1155/2014/419743
    • (2014) Comput Intell Neurosci , vol.2014 , pp. 419743
    • Wulandhari, L.A.1    Wibowo, A.2    Desa, M.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.