Modeling and predicting the Henry's law constants of methyl ketones in aqueous sodium sulfate solutions with artificial neural network

Prediction of Density, Surface Tension, and Viscosity of Quaternary Ammonium-Based Ionic Liquids ([N222(n)]Tf2N) by Means of Artificial Intelligence Techniques

“…Each kind of data, which in some cases the relations between them are very complicated, can be modeled via ANN. [41,44,[55][56][57][62][63][64][65][66][67][68][69][70][71][72][73] By using appropriate experimental data which can be obtained from the literature, most physicochemical properties can be calculated by means of ANN. ANN is an especially efficient algorithm which by learning the relationships between input and output vectors approximates any thermophysical properties by utilizing a nonlinear model.…”

“…The number of neurons presented in the input and output layer depends on the number of variables. [41,65,66,68,[70][71][72] The performance of ANN is generally based on parameters architecture and setting. One of the most difficult tasks in studying ANN is finding an appropriate architecture.…”

“…The only step which is very time-consuming is the trial and error. [41,55,[65][66][67][68][69][70][71] Figure 3a shows a network for predicting density of studied quaternary ammonium-based ILs that contains three inputs and two neurons in hidden layer. (Also, Figure 3b and 3c, respectively, displays the networks related to the surface tension and viscosity models of studied ILs.)…”

“…Weight and bias are two adjustable parameters in neuron. [41,71] According to what was mentioned before, each input vector is presented to the input layer of the network and by using the following equation:…”

Application of neural network molecular modeling for correlating and predicting Henry's law constants of gases in [bmim][PF6] at low pressures

“…Also, precise predictions of Henry's law constant results in accurate estimation of gas solubility as well as reliable predictions of Gibbs free energy, enthalpy and entropy of solvation. Applications of Henry's law constant have been reviewed by Mullins et al [53], Lin and Sandler [54], Jacquemin et al [9,10], Safamirzaei et al [55] and Gharagheizi et al [56]. More details about Henry's law can be found in thermodynamic textbooks [49,50].…”