Artificial neural network model to predict compression-permeability characteristics of solid-liquid systems
A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the compression-permeability (C-P) characteristics of a solid-liquid system. Extensive cake properties database containing experimental data spanning various material types, particle size distribution,...
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Main Authors: | Iwata, Masashi, Jami, Mohammed Saedi, Shiojiri, Susumu |
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Format: | Article |
Language: | English |
Published: |
The Filtration Society and the American Filtration & Separations Society
2007
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Subjects: | |
Online Access: | http://irep.iium.edu.my/40934/3/Published.pdf http://irep.iium.edu.my/40934/ http://www.filtsoc.org/journal/2007/volume-7-issue-4/ |
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