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	STUDIA CHEMIA - Issue no. 1-2 / 1998

	Article:	MODELING OF CATALYTIC STEAM REFORMING PROCESS USING NEURAL NETWORKS. Authors: PAUL ŞERBAN AGACHI, ANTON ALEXANDRU KISS, ZOLTAN NAGY, ALEXANDRU POP.


	Abstract: This paper discusses the analytical model of the catalytic steam hydrocarbon reforming process and also the possibility to model this process using Artificial Neural Network. Both models are used to calculate the conversions in different conditions of temperature, pressure and molar ratio. Very good results were achieved using Artificial Neural Networks.




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