Highly promising artificial intelligence tools, including neural network (ANN), genetic algorithm (GA) and particle swarm optimization (PSO), were applied in the present study to develop an approach for the evaluation of Se(IV) removal from aqueous solutions by reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) composites. Both GA and PSO were used to optimize the parameters...

This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang Seng, KOSPI, NASDAQ, NIKKEI, S&P500, Taiwan stock market price index, and the Canadian TSE. In particular, genetic algorithms (GA) are used to optimize the topology and parameters of the adaptive time delay neural networks (ATNN) and the t...

abstract process of evapotranspiration (eto) is a major component of the hydrologic cycle that its accurate estimation plays an important role to achieve sustainable development in water balance, irrigation system design and planning and management of water resources. being a function of different metrological parameters and their interactions, evapotranspiration is a complex, nonlinear phenome...

The aim of this study was to compare the prediction efficiency of different types of linear calibration models using near infrared absorbance spectral data of vegetable oils. The applied model types were PCA-MLR (Principal Component Analysis-Multiple Linear Regression), PLS (Partial Least Squares regression), PCA-ANN (Principal Component Analysis-Artificial Neural Network) and GA-ANN (Genetic A...

The quantitative structure-retention relationship (QSRR) of nanoparticles in roadside atmosphere against the comprehensive two-dimensional gas chromatography which was coupled to high-resolution time-of-flight mass spectrometry was studied. The genetic algorithm (GA) was employed to select the variables that resulted in the best-fitted models. After the variables were selected, the linear multi...

The purpose of this comparative study is to improve the predictive accuracy cutting force during turning Ti-6Al-4V on a lathe machine. By optimizing machining process parameters such as speed, feed rate, and depth cut, in can be improved significantly. Cutting one crucial characteristics that must monitored order enhance tool life surface finish workpiece. This paper based experimental dataset ...