
ARTIFICIAL NEURAL NETWORK VS. LINEAR REGRESSION FOR MODELING REACTOR OF THE CATALYTIC CRACKING PROCESS
(STEF92 Technology, 2024-11-15, Bogdan Doicin, Mădălina Cărbureanu, Cristina Popa)
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The paper presents the research and results obtained by authors concerning the reactor modeling of the catalytic cracking process using two methods: artificial neural network (ANN) and multiple linear regression (MLR). This study is structured in four parts. The first part presents the process description, and the existing models in the literature. The second part presents the multiple linear regression method, the reactor model obtained with this method, and the comparison between the output experimental data of ...

