메뉴 건너뛰기




Volumn 16, Issue 4, 2010, Pages 329-343

Regime identification of slurry transport in pipelines - a novel modeling approach using ANN and differential evolution;Identifikacija režima proticanja suspenzija u cevovodima - novi pristup modelovanju pomoću veštačkih neuronskih mreža i diferencijalnog prirasta

Author keywords

Artificial neural network; Differential evolution; Slurry flow; Slurry flow regime

Indexed keywords


EID: 78649869171     PISSN: 14519372     EISSN: None     Source Type: Journal    
DOI: 10.2298/CICEQ091030034L     Document Type: Article
Times cited : (22)

References (20)
  • 16
  • 20
    • 78649897203 scopus 로고
    • University of Illinois, Chicago, IL
    • F.L Hsu, PhD thesis, University of Illinois, Chicago, IL, 1987.
    • (1987) PhD thesis
    • LHsu, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.