Simulation Study of Mass Transfer Coefficient in Slurry Bubble Column Reactor Using Neural Network
The objective of this study was to develop neural network algorithm, (Multilayer Perceptron), based correlations for the prediction overall volumetric mass-transfer coefficient (kLa), in slurry bubble column for gas-liquid-solid systems. The Multilayer Perceptron is a novel technique based on the fe...
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Al-Khwarizmi College of Engineering – University of Baghdad
|Series:||Al-Khawarizmi Engineering Journal|