Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds
In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classifie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
2018-10-01
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| Series: | Iranian Journal of Chemistry & Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.ijcce.ac.ir/article_35430_5bc9677dc3a4a53be50f2800c5af8fbc.pdf |