Artificial Neural Network Identification and Evaluation of Hydrotreater Plant

Author:

Zahedi G.,Fgaier H.,Jahanmiri A.,Al-Enezi G.

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Reference11 articles.

1. Al-Enezi, G. and Elkamel, A. (2000) Predicting the effect of feedstock on product yields and properties of the FCC process Petroleum Science and Technology, 18(3&4), pp. 407 - 428. [CSA]

2. Berger, D. and Landau, M. and Herskawitz, M. and Boger, Z. (1996) Deep hydrodesulfurization of atmospheric gas oil: Effect of operating conditions and modeling by artificial neural network techniques Fuel, 76(7), pp. 907 - 911. [CSA][CROSSREF]

3. Bulsari, A.(1995) Neural Networks for Chemical Engineers.. Amsterdam : Elsevier Science Press.

4. Joseph, B. and Wang, F. and Shieh, P. (1992) Exploratory data analysis: A comparison of statistical methods with artificial neural networks Comp. Chem. Eng., 16, pp. 413. [CSA][CROSSREF]

5. Kabe, T. and Ishihara, A. and Zhang. (1993) Studies of carbon-sulfur bond cleavage by homogeneous transition metal studies of carbon-sulfur bond cleavage by homogeneous transition metal complexes Appl. Catal., 97, pp. L1. [CSA][CROSSREF]

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