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Volumn 303, Issue 1, 2011, Pages 40-44

A comparison between neural network method and semi empirical equations to predict the solubility of different compounds in supercritical carbon dioxide

Author keywords

Neural network; Semi empirical equation; Solubility; Supercritical carbon dioxide

Indexed keywords

EXPERIMENTAL DATA; NEURAL NETWORK METHOD; RELATIVE DEVIATIONS; SEMIEMPIRICAL EQUATION; SUPERCRITICAL CARBON DIOXIDE; SUPERCRITICAL CARBON DIOXIDES;

EID: 79952038640     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2010.12.010     Document Type: Article
Times cited : (51)

References (41)
  • 27
    • 0024861871 scopus 로고
    • Cybenco G. MCSS 1989, 2:303-314.
    • (1989) MCSS , vol.2 , pp. 303-314
    • Cybenco, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.