Estimation of LLE Data for Binary Systems of N-Formylmorpholine with Alkanes Using Artificial Neural Network–Genetic Algorithm (ANN–GA) Model
Journal: Chemical Methodologies (Vol.3, No. 1)Publication Date: 2019-01-01
Authors : Reza Beigzadeh;
Page : 67-82
Keywords : Artificial neural network (ANN); Binary system; Genetic algorithm (GA); Liquid-liquid Equilibrium (LLE); N-formylmorpholine;
Abstract
The purpose of this work was to predict liquid-liquid equilibrium of binary systems including N-formylmorpholine (NFM) with alkanes (heptane, nonane, and 2,2,4-trimethylpentane) over the temperature range from around 300 K to 420 K. Therefore, three feed-forward artificial neural network (ANN) models were developed for the three systems. Compositions of alkanesin light phase and heavy phase were considered as network inputs, and the temperature was the output variable. Genetic algorithm (GA) method was used to design the neural network. It minimized the total mean squared error (MSE) between net output and desired output with optimizing weights and biases of the ANN. The validity of the models was evaluated through a test data set, which was not used in the training data set. The results of this work show that the hybrid of artificial neural network and genetic algorithm (ANN–GA) can estimate the LLE of the binary systems with high precision.
Other Latest Articles
- Computational NQR−NBO Parameters and DFT Calculations of Ampicillin and Zwitterion (Monomer and Dimer Structures)
- Estimation of Anti-dengue Phytochemical Markers Gallic acid, Rutin and Quercetin in Methanolic Extract of Euphorbia hirta (L.) and Tawa-Tawa Capsule Formulation by Validated RP-HPLC Method
- A Novel Facile Synthesis Route for Nano-sized Zn(II) Schiff base Complex and Nano-sized ZnSe/ZnO
- Polyaminopolyphosрhonates and Polyaminopolycarbonoates (that are “Chelators”) in Mission of Inhibiting of Microbiological Corrosion with Desulfovibrio Desulfuricans
- Cyclic Voltammetry for the Interaction between Bismuth Nitrate and Methyl Red in Potassium Nitrate Solutions
Last modified: 2019-01-15 17:42:52