New Neural Network Group Contribution Model for Estimation of Lower Flammability Limit Temperature of Pure Compounds-Reference-Cited by-同舟云学术

New Neural Network Group Contribution Model for Estimation of Lower Flammability Limit Temperature of Pure Compounds

Published:2009-07-02 Issue:15 Volume:48 Page:7406-7416
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gharagheizi Farhad¹

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Department of Chemical Engineering, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Evin, Tehran, Iran

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie9003738

Reference23 articles.

1. The lower explosion point—A good measure for explosion prevention: Experiment and calculation for pure compounds and some mixtures

2. Quantitative Structure−Property Relationship for Prediction of the Lower Flammability Limit of Pure Compounds

3. Prediction of Flash Point Temperature of Pure Components Using a Quantitative Structure-Property Relationship Model

4. A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components

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