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

• 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/40934/3/Published.pdf; http://irep.iium.edu.my/40934/; http://www.filtsoc.org/journal/2007/volume-7-issue-4/
• Institution: Universiti Islam Antarabangsa Malaysia

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,...