ESTIMATION OF GAS HOLDUP AND INPUT POWER IN FROTH FLOTATION USING ARTIFICIAL NEURAL NETWORK
عنوان مقاله: ESTIMATION OF GAS HOLDUP AND INPUT POWER IN FROTH FLOTATION USING ARTIFICIAL NEURAL NETWORK
شناسه ملی مقاله: JR_IJMSEI-12-1_002
منتشر شده در در سال 1393
شناسه ملی مقاله: JR_IJMSEI-12-1_002
منتشر شده در در سال 1393
مشخصات نویسندگان مقاله:
B. Shahbazi
B. Rezai
S. Chehreh Chelgani
S. M. J. Koleini
M. Noaparast
خلاصه مقاله:
B. Shahbazi
B. Rezai
S. Chehreh Chelgani
S. M. J. Koleini
M. Noaparast
Multivariable regression and artificial neural network procedures were used to modeling of the input power
and gas holdup of flotation. The stepwise nonlinear equations have shown greater accuracy than linear ones where
they can predict input power, and gas holdup with the correlation coefficients of ۰.۷۹ thereby ۰.۵۱ in the linear, and
R۲=۰.۸۸ versus ۰.۵۲ in the non linear, respectively. For increasing accuracy of predictions, Feed-forward artificial
neural network (FANN) was applied. FANNs with ۲-۲-۵-۵, and ۲-۲-۳-۲-۲ arrangements, were capable to estimating of
the input power and gas holdup, respectively. They were achieved quite satisfactory correlations of ۰.۹۶ in testing stage
for input power prediction, and ۰.۶۴ for gas holdup prediction
کلمات کلیدی: Flotation, Input Power, Gas Holdup, Regression, Artificial Neural Network
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1723181/