Código QR (código de barras bidimensional)

ESTIMATION OF GAS HOLDUP AND INPUT POWER IN FROTH FLOTATION USING ARTIFICIAL NEURAL NETWORK

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 o...

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Principais autores: B. Shahbazi, B. Rezai, S. Chehreh Chelgani, S. M. J. Koleini, M. Noaparast
格式: Artigo
語言:Inglês
出版: Iran University of Science & Technology 2015-03-01
叢編:Iranian Journal of Materials Science and Engineering
主題:
Flotation
Input Power
Gas Holdup
Regression
Artificial Neural Network
在線閱讀:http://ijmse.iust.ac.ir/browse.php?a_code=A-10-127-71&slc_lang=en&sid=1
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