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Influence of Ultrasonic and Microwave Irradiation on Cation Exchange Properties of ClayMaterial

A. Švarc ; University of Zagreb, Faculty of Chemical Engineering and Technology, Maruliæev trg 19, 10000 Zagreb, Croatia
Š. Ukić ; University of Zagreb, Faculty of Chemical Engineering and Technology, Maruliæev trg 19, 10000 Zagreb, Croatia
S. Radojević Lacković ; Vinkovaèki vodovod i kanalizacija d.o.o., Dragutina Ýaniæa-Karle 47a, 32100 Vinkovci, Croatia
B. Đuričić ; University of Zagreb, Faculty of Chemical Engineering and Technology, Maruliæev trg 19, 10000 Zagreb, Croatia
M. Novak ; University of Zagreb, Faculty of Chemical Engineering and Technology, Maruliæev trg 19, 10000 Zagreb, Croatia
T. Bolanča ; University of Zagreb, Faculty of Chemical Engineering and Technology, Maruliæev trg 19, 10000 Zagreb, Croatia


Puni tekst: engleski pdf 576 Kb

str. 29-35

preuzimanja: 384

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Sažetak

This study deals with optimization of the clay activation process using artificial neural network models and multi-objective optimization function. Different artificial
neural network models were used for description of the relation between clay sorption capacity and the activation treatment process (power and time of clay exposure to ultrasonic
and/or microwave irradiation). Two methodologies (feed-forward and cascade-forward) in combination with five different training algorithms (random order incremental training with learning functions, resilient backpropagation, one-step secant backpropagation, Levenberg-Marquardt backpropagation, Bayesian regularization backpropagation) were applied in order to obtain an optimal artificial neural network model. The optimal
artificial neural network model showed good predictive ability (relative error 6.02 % based on external validation data set). In-house developed multi-objective criteria function
was used in combination with the developed artificial neural network model and calculated optimal activation was determined (5 minutes of ultrasoni

Ključne riječi

Clay activation; multi-objective optimization; artificial neural networks

Hrčak ID:

99434

URI

https://hrcak.srce.hr/99434

Datum izdavanja:

29.3.2013.

Posjeta: 920 *