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

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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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Bibliographic Details
Main Authors:	Iwata, Masashi, Jami, Mohammed Saedi, Shiojiri, Susumu
Format:	Article
Language:	English
Published:	The Filtration Society and the American Filtration & Separations Society 2007
Subjects:	TP155 Chemical engineering
Online Access:	http://irep.iium.edu.my/40934/ http://irep.iium.edu.my/40934/3/Published.pdf

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