Artificial neural network modeling techniques applied to the hydrodesulfurization process

Mathematical and Computer Modelling

Volumn 49, Issue 1-2, 2009, Pages 207-214

  Arce Medina, Enrique ^a   Paz Paredes, José I ^b  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b INSTITUTO MEXICANO DEL PETRÓLEO   (Mexico)

Author keywords

Hydrodesulfurization; Neural networks; Pollution; Process modeling

Indexed keywords

BACKPROPAGATION; DESULFURIZATION; FORECASTING; FOSSIL FUELS; HYDRODESULFURIZATION; IMAGE CLASSIFICATION; LEAKAGE (FLUID); METAL REFINERIES; NAPHTHAS; PETROLEUM REFINERIES; SULFUR; VEGETATION;

ACCEPTABLE LIMITS; ANN MODELS; ARTIFICIAL NEURAL NETWORKS; COEFFICIENT OF CORRELATIONS; GOODNESS OF FITS; HARMFUL EMISSIONS; KEY PROCESSES; MODELING AND SIMULATIONS; PROCESS MODELING; PROCESS OPERATIONS; SQUARED DIFFERENCES; SULFUR CONTENTS; SULFUR REMOVALS;

NEURAL NETWORKS;

EID: 55549088192     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2008.05.010     Document Type: Article

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