Thermodynamical and artificial intelligence approaches of H2S solubility in N-methylpyrrolidone-Reference-Cited by-同舟云学术

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Thermodynamical and artificial intelligence approaches of H2S solubility in N-methylpyrrolidone

Published:2018-09 Issue: Volume:707 Page:22-30
ISSN:0009-2614
Container-title:Chemical Physics Letters
language:en
Short-container-title:Chemical Physics Letters

Author:

Shokouhi Mohammad,Salooki Mahdi Koolivand,Ahari Jafar Sadeghzadeh,Esfandyari Morteza

Funder

Research Council of the Research Institute of Petroleum Industry

Research and Development of the National Iranian Oil Company

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Reference55 articles.

1. Design of neural network for manipulating gas refinery sweetening regenerator column outputs

2. The Development of an Artificial Neural Network Model for Prediction of Crude Oil Viscosities

3. Application of neural network technique for prediction of uniaxial compressive strength using reservoir formation properties

4. Modeling and optimization of Fischer–Tropsch synthesis in the presence of Co (III)/Al2O3 catalyst using artificial neural networks and genetic algorithm

5. Support Vector Machine based modeling of an industrial natural gas sweetening plant

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