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Volumn 7, Issue 4, 2007, Pages 337-344

Artificial neural network model to predict compression-permeability characteristics of solid/liquid systems

Author keywords

Artificial neural networks; Compression permeability characteristics; Inorganic particles; Polymer particles; Solid liquid separation

Indexed keywords


EID: 79953267758     PISSN: 14790602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (10)
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  • 2
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  • 3
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  • 5
    • 0036837404 scopus 로고    scopus 로고
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    • (2002) Separation and Purification Technology , vol.29 , pp. 131-139
    • Teoh, S.K.1    Tan, R.B.H.2    Tien, C.3
  • 6
    • 0029657560 scopus 로고    scopus 로고
    • Fundamental aspects of sludge filtration and expression
    • DOI 10.1016/0043-1354(95)00205-7
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    • (1996) Water Research , vol.30 , Issue.3 , pp. 697-703
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  • 7
    • 0035921735 scopus 로고    scopus 로고
    • Cake filtration analysis - The effect of the relationship between the pore liquid pressure and the cake compressive stress
    • DOI 10.1016/S0009-2509(01)00263-9, PII S0009250901002639
    • Tien C., Teoh S.K. and Tan R.B.H., 2001, Cake filtration analysis - the effect of the relationship between the pore liquid pressure and the cake compressive stress, Chemical Engineering Science, 56, 5361-5369. (Pubitemid 32897407)
    • (2001) Chemical Engineering Science , vol.56 , Issue.18 , pp. 5361-5369
    • Tien, C.1    Teoh, S.K.2    Tan, R.B.H.3
  • 8
    • 0037399368 scopus 로고    scopus 로고
    • Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis
    • DOI 10.1016/S0043-1354(02)00494-3, PII S0043135402004943
    • Hong Y.S.T., Rosen M.R. and Bhamidimarri R., 2003, Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis, Water Research, 67, 1608-1618. (Pubitemid 36207570)
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    • Hong, Y.-S.T.1    Rosen, M.R.2    Bhamidimarri, R.3
  • 9
    • 0038054285 scopus 로고    scopus 로고
    • Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks
    • DOI 10.1016/S0376-7388(03)00075-9
    • Shetty G.R. and Chellam S., 2003, Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks, J. Membrane Science, 218, 69-86. (Pubitemid 36629380)
    • (2003) Journal of Membrane Science , vol.217 , Issue.1-2 , pp. 69-86
    • Shetty, G.R.1    Chellam, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.