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REVISTA DE CHIMIE
Cite as: Rev. Chim.
https://doi.org/10.37358/Rev.Chim.1949

OSIM Nr. R102355
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Revista de Chimie (Rev. Chim.), Year 2010, Volume 61, Issue 1,





Calin I. Anghel , Mircea V. Cristea
Prediction of Thermodynamic Properties by
Artificial Intelligence Techniques

Abstract:

Thermodynamic models are solid foundations for many theoretical investigations of multicomponent systems. Beside of cumbersome theoretical approaches necessary to develop new insights in this context of potential support is the integration of artificial intelligence innovative ideas. The paper implements a novel procedure of the artificial intelligence based on support vector machine in a minimax approach. The main goal of the paper is to compare the performance of the novel procedure with artificial neural networks or other theoretical approaches and to promote it as an effective technique for thermodynamic analyses. Comparative results demonstrate the capability of the proposed procedure to be used by engineers dealing with multicomponent systems analysis but also its potential application in other engineering fields. Keywords: thermodynamic model, multicomponent solid solution, artificial neural networks, support vector machine, minimax approach

Issue: 2010, Volume 61, Issue 1
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