Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 198

Full Length Research Paper

Predictive modeling for an industrial naphtha reforming plant using a recurrent-layer artificial neural network

Sepehr Sadighi
  • Sepehr Sadighi
  • Catalysis and Nanotechnology Division, Catalytic Reaction Engineering Department,Research Institute of Petroleum Industry (RIPI), Iran.
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S. Reza Seif Mohaddecy
  • S. Reza Seif Mohaddecy
  • Catalysis and Nanotechnology Division, Catalytic Reaction Engineering Department,Research Institute of Petroleum Industry (RIPI), Iran.
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  •  Accepted: 28 May 2013
  •  Published: 31 July 2013

Authors

Sepehr Sadighi
Catalysis and Nanotechnology Division, Catalytic Reaction Engineering Department,Research Institute of Petroleum Industry (RIPI), Iran.

S. Reza Seif Mohaddecy
Catalysis and Nanotechnology Division, Catalytic Reaction Engineering Department,Research Institute of Petroleum Industry (RIPI), Iran.

Corresponding Author Email: [email protected]



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This article is published under the terms of the Creative Commons Attribution License 4.0

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