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

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MOVAGHARNEJAD KAMYAR; Vafaei Niusha

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Journal Paper

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Journal: Journal of Chemical and Petroleum Engineering Year:2018 | Volume:52 | Issue:2 Page(s): 123-133

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Title

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

Author(s)

MOVAGHARNEJAD KAMYAR | Vafaei Niusha | Issue Writer Certificate

Keywords

Algorithm

Artificial Neural Network

Binary Liquid Mixture

Genetic Multi-Layer Perception

Particle Swarm Optimization

Refractive Index

Abstract

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 fraction of one component and the structural groups of the components were used as input parameters of the network while the Refractive Index was selected as its output. The ANN was optimized once by genetic Algorithm (GA) and once again by Particle Swarm Optimization Algorithm (PSO) in order to predict the Refractive Index of binary solutions. The optimal topology of the ANN-GA consisted of 13 neurons in the hidden layer and the optimal topology of the ANN-PSO consisted of 16 neurons in the hidden layer. The results revealed that the ANN optimized by PSO had a better accuracy (MSE=0. 003441 for test data) compared to the ANN optimized with GA (MSE=0. 005117 for test data).

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APA: Copy

MOVAGHARNEJAD, KAMYAR, & Vafaei, Niusha. (2018). A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), 52(2), 123-133. SID. https://sid.ir/paper/739526/en

Vancouver: Copy

MOVAGHARNEJAD KAMYAR, Vafaei Niusha. A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING)[Internet]. 2018;52(2):123-133. Available from: https://sid.ir/paper/739526/en

IEEE: Copy

KAMYAR MOVAGHARNEJAD, and Niusha Vafaei, “A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions,” JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), vol. 52, no. 2, pp. 123–133, 2018, [Online]. Available: https://sid.ir/paper/739526/en

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