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Volumn 27, Issue 3, 2008, Pages 365-367

Calculation of surface subsidence coefficient in mining areas using support vector machine regression

Author keywords

Particle swarm optimization; Regression; Support vector machine; Surface subsidence coefficient

Indexed keywords


EID: 49649083853     PISSN: 10080562     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (7)
  • 1
    • 49649084409 scopus 로고    scopus 로고
    • Chinese source.
    • Chinese source.
  • 2
    • 49649124054 scopus 로고    scopus 로고
    • Chinese source.
    • Chinese source.
  • 3
    • 49649096069 scopus 로고    scopus 로고
    • Chinese source.
    • Chinese source.
  • 4
    • 84887252594 scopus 로고    scopus 로고
    • Vapnik V N, Golowich S E, Smola A J. Support vector machine for function approximation, regression estimation and signal procession[J].Adv Neural Information Procession System,1996: 281-287.
    • Vapnik V N, Golowich S E, Smola A J. Support vector machine for function approximation, regression estimation and signal procession[J].Adv Neural Information Procession System,1996: 281-287.
  • 6
    • 49649100345 scopus 로고    scopus 로고
    • Chinese source.
    • Chinese source.
  • 7
    • 49649094641 scopus 로고    scopus 로고
    • Chinese source.
    • Chinese source.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.