APPLYING PARETO DESIGN OF GMDH-TYPE NEURAL NETWORK FOR SOLID-LIQUID EQUILIBRIUM OF BINARY SYSTEMS (ISOTACTIC POLY 1-BUTENE (1)-ORGANIC SOLVENTS (2))

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHANADZADEH HOSSEIN; DAGHBANDAN ALLAHYAR; AKBARIZADEH MOHAMMD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Chemistry and Chemical Engineering Year:2014 | Volume:33 | Issue:1 Page(s): 67-73

Download Full-Text

Persian Verion

View:

844

Download:

Cites:

Information Journal Paper

Title

APPLYING PARETO DESIGN OF GMDH-TYPE NEURAL NETWORK FOR SOLID-LIQUID EQUILIBRIUM OF BINARY SYSTEMS (ISOTACTIC POLY 1-BUTENE (1)-ORGANIC SOLVENTS (2))

Author(s)

GHANADZADEH HOSSEIN | DAGHBANDAN ALLAHYAR | AKBARIZADEH MOHAMMD | Issue Writer Certificate

Keywords

SOLID-LIQUID EQUILIBRIUMQ2

ISOTACTIC POLY (1-BUTENE)Q2

GMDH TYPE-NEURAL NETWORKQ2

ORGANIC SOLVENTSQ2

Abstract

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, cyclo octane) was studied by a mathematical model. By considering the experiments temperature-mole fraction results, phase diagram of the polymer solvent systems could be constructed. The temperature and activity coefficient based on mole fraction phase diagrams were predicted by using Pareto genetic design of GMDH-type neural network. The results were very encouraging and congruent with the experimental data.

Cites

Nyquist Plots Prediction Using Neural Networks in Corrosion Inhibition of Steel by Schiff Base

References

Cite

APA: Copy

GHANADZADEH, HOSSEIN, DAGHBANDAN, ALLAHYAR, & AKBARIZADEH, MOHAMMD. (2014). APPLYING PARETO DESIGN OF GMDH-TYPE NEURAL NETWORK FOR SOLID-LIQUID EQUILIBRIUM OF BINARY SYSTEMS (ISOTACTIC POLY 1-BUTENE (1)-ORGANIC SOLVENTS (2)). IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), 33(1), 67-73. SID. https://sid.ir/paper/405943/en

Vancouver: Copy

GHANADZADEH HOSSEIN, DAGHBANDAN ALLAHYAR, AKBARIZADEH MOHAMMD. APPLYING PARETO DESIGN OF GMDH-TYPE NEURAL NETWORK FOR SOLID-LIQUID EQUILIBRIUM OF BINARY SYSTEMS (ISOTACTIC POLY 1-BUTENE (1)-ORGANIC SOLVENTS (2)). IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)[Internet]. 2014;33(1):67-73. Available from: https://sid.ir/paper/405943/en

IEEE: Copy

HOSSEIN GHANADZADEH, ALLAHYAR DAGHBANDAN, and MOHAMMD AKBARIZADEH, “APPLYING PARETO DESIGN OF GMDH-TYPE NEURAL NETWORK FOR SOLID-LIQUID EQUILIBRIUM OF BINARY SYSTEMS (ISOTACTIC POLY 1-BUTENE (1)-ORGANIC SOLVENTS (2)),” IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), vol. 33, no. 1, pp. 67–73, 2014, [Online]. Available: https://sid.ir/paper/405943/en

Related Journal Papers