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Volumn 33, Issue 7, 2002, Pages 62-67

Application of artificial neural network in near-infrared analysis and dark-colored oil analysis

Author keywords

Artificial neural network; Crude oil; Distillation range; Near infrared spectroscopy

Indexed keywords


EID: 0036999288     PISSN: 10052399     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (8)
  • 1
    • 0013407907 scopus 로고    scopus 로고
    • CDU and FCCU optimization using NIR technology
    • San Antonio
    • Kania A L. CDU and FCCU Optimization Using NIR Technology. 1997 NPRA Annual Meeting, San Antonio, 1997.
    • (1997) 1997 NPRA Annual Meeting
    • Kania, A.L.1
  • 5
    • 0002264754 scopus 로고    scopus 로고
    • Quality characterisation of crude oils by partial least square calibration of NIR spectral profiles
    • Hidajat K, Chong S M. Quality Characterisation of Crude Oils by Partial Least Square Calibration of NIR Spectral Profiles. J Near Infrared Spectrosc, 2000, 8:53-59.
    • (2000) J Near Infrared Spectrosc , vol.8 , pp. 53-59
    • Hidajat, K.1    Chong, S.M.2
  • 6
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Homik K, Stinchcombe M, White H. Multilayer Feedforward Networks are Universal Approximators. Neural Networks, 1989, 2:359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Homik, K.1    Stinchcombe, M.2    White, H.3
  • 7
    • 0013399025 scopus 로고    scopus 로고
    • Chinese source
  • 8
    • 0013439472 scopus 로고    scopus 로고
    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.