메뉴 건너뛰기




Volumn 343, Issue , 2013, Pages 24-29

Investigating vapor-liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network

Author keywords

Bubble point pressure; Cascade neural network; Dew point pressure; Phase equilibria; Supercritical extraction

Indexed keywords

AVERAGE ABSOLUTE RELATIVE DEVIATIONS; BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); BUBBLE POINT PRESSURE; CASCADE NEURAL NETWORKS; COEFFICIENT OF DETERMINATION; DEW POINT PRESSURES; NEAR-CRITICAL CARBON DIOXIDES; SUPERCRITICAL EXTRACTION;

EID: 84874002761     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2013.01.012     Document Type: Article
Times cited : (63)

References (58)
  • 21
    • 84875504264 scopus 로고    scopus 로고
    • Schematic analysis for the calculation of vapor liquids equilibrium for asymmetric binary systems containing carbon dioxide at high pressures
    • Colombia
    • V.M. Trejos Montoya, Schematic analysis for the calculation of vapor liquids equilibrium for asymmetric binary systems containing carbon dioxide at high pressures, National University of Colombia at Manizales, Colombia, 2010.
    • (2010) National University of Colombia at Manizales
    • Trejos Montoya, V.M.1
  • 27
    • 16844379083 scopus 로고    scopus 로고
    • Control of pH in chemical process using artificial neural networks
    • A thesis submitted in partial fulfillment of the requirements of Liverpool, John Moores University for the degree of Doctor of Philosophy
    • S.K. Doherty, Control of pH in chemical process using artificial neural networks, A thesis submitted in partial fulfillment of the requirements of Liverpool, John Moores University for the degree of Doctor of Philosophy, 1999.
    • (1999)
    • Doherty, S.K.1
  • 42
    • 0003642582 scopus 로고
    • Continuous valued neural networks with two hidden layers are sufficient
    • Department of Computer Science, Tufts University
    • G. Cybenko, Continuous valued neural networks with two hidden layers are sufficient, Department of Computer Science, Tufts University, 1988.
    • (1988)
    • Cybenko, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.