Modeling steady-state heterogeneous gas-solid reactors using feedforward neural networks

Computers and Chemical Engineering

Volumn 25, Issue 9-10, 2001, Pages 1241-1250

  Parisi, Daniel R ^a   Laborde, Miguel A ^a  

^a UNIVERSIDAD DE BUENOS AIRES   (Argentina)

Author keywords

Heterogeneous gas solid reactor simulations; Hybrid modeling; Neural networks

Indexed keywords

COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; DIFFUSION; FEEDFORWARD NEURAL NETWORKS; METHANE; PELLETIZING; REACTION KINETICS; STEAM;

GAS-SOLID HETEROGENOUS REACTORS;

CHEMICAL REACTORS;

METHANE; WATER;

NEURAL NETWORK; REACTOR;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CHEMICAL ENGINEERING; CHEMICAL REACTION; CHEMICAL REACTION KINETICS; DIFFUSION; GAS; MATHEMATICAL ANALYSIS; METHODOLOGY; MODEL; MOLECULAR WEIGHT; PRODUCTIVITY; REACTION ANALYSIS; SIMULATION; SOLID; STEADY STATE; VALIDATION PROCESS; WATER VAPOR;

EID: 0035883153     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(01)00688-3     Document Type: Article

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