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Sepehr Sadiigh
Predictive modeling for an industrial naphtha reforming plant using artificial neural network with recurrent layers
" In this research, a layered-recurrent artificial neural network (ANN) using the back-propagation method was developed for simulation of a fixed-bed industrial catalytic reforming unit called Platformer. Ninety-seven data points were gathered from the industrial catalytic naphtha reforming plant during the complete life cycle of the catalytic bed (about 919 days). Ultimately, 80% of them were selected as past horizontal data sets, and the others were selected as future horizontal ones. After training, testing, and validating ... "
Depok: Faculty of Engineering, Universitas Indonesia, 2013
UI-IJTECH 4:2 (2013)
Artikel Jurnal  Universitas Indonesia Library