A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions

A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions

A total of 1099 data points consisting of alcohol-alcohol, alcohol-alkane, alkane-alkane, alcohol-amine and acid-acid binary solutions were collected from scientific literature to develop an appropriate artificial neural network (ANN) model. Temperature, molecular weight of the pure components, mole...

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Bibliographic Details
Main Authors: kamyar movagharnejad, Niousha Vafaei
Format: Article
Language:English
Published: University of Tehran 2018-12-01
Series:Journal of Chemical and Petroleum Engineering
Subjects:
Algorithm
Artificial Neural Network
Binary Liquid Mixture
Genetic Multi-Layer Perceptron
Particle Swarm Optimization
Refractive Index
Online Access:https://jchpe.ut.ac.ir/article_68774.html

Internet

https://jchpe.ut.ac.ir/article_68774.html

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