Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2))

Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2))

Isotactic poly (1-butene), ipbu-1, was synthesized by using a metallocene catalyst. The thermodynamic phase behavior of polymer–organic solvents systems is very important in every polymer application.  In this paper, the solid–liquid equilibrium of ipbu-1 with different organic solvents (1-heptyne,...

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Bibliographic Details
Main Authors: Hossein Ghanadzadeh, Allahyar Daghbandan, Mohammd Akbarizadeh
Format: Article
Language:English
Published: Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR 2014-03-01
Series:Iranian Journal of Chemistry & Chemical Engineering
Subjects:
solid-liquid equilibrium
isotactic poly (1-butene)
gmdh type-neural network
organic solvents
Online Access:http://www.ijcce.ac.ir/article_7197_62a66b9e34c003a69c2eb5e8e49ac67b.pdf

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