The class of adaptive systems known as Artificial Neural Networks (ANN) was motivated by the amazing parallel processing capabilities of biological brains (especially the human brain). The main driving force was to re-create these abilities by constructing artificial models of the biological neuron. The power of biological neural structures stems from the enormous number of highly interconnecte...

This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and embankments. For this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. In order to predict earthquake-induced deformation o...

In this paper, we propose four techniques for extraction of facial features namely 2DPCA, LDA, KPCA and KFA. The purpose of face feature extraction is to capture certain discriminative features that are unique for a person. In the previous works that uses PCA for face feature extraction involves merging the features and reducing the dimensions that results in some information loss. To overcome ...

Artificial intelligence methods can remarkably reduce costs for water supply and sanitation systems help ensure compliance with the quality of drinking wastewater treatment. Therefore, modelling predicting to control pollution has been widely researched. The novelty proposed system is presented develop an efficient operation monitoring a sustainable friendly green environment. In this work, ada...

The higher share of renewable energy sources in the electrical grid and electrification significant sectors, such as transport heating, are imposing a tremendous challenge on operation system due to increase complexity, variability uncertainties associated with these changes. recent advances computational technologies ever-growing data availability allowed development sophisticated efficient al...

Abstract The swelling of clay-sulfate rocks is a well-known phenomenon often causing threats to the success various geotechnical projects, including tunneling, road and bridge construction, geothermal drilling. origin usually explained by physical due clay expansion combined with chemical associated transformation anhydrite (CaSO 4 ) into gypsum ∙2H 2 O). latter occurs through dissolution subse...

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

In this paper, a standalone permanent magnet synchronous generator (PMSG) system is designed to generate power at maximum point (MPP). The variable speed operation of wind energy conversion consists PMSG, controlled rectifier and voltage source inverter co the load. Proportional integral (PI), sliding mode (SM), feed forward neural network (FFNN) control strategies are applied in field oriented...

this research intends to develop a method based on the artificial neural network (ann) to predict permanent earthquake-induced deformation of the earth dams and embankments. for this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. in order to predict earthquake-induced deformation o...