application of neural networks in corporate’s profitability prediction

Application of artificial neural networks on drought prediction in Yazd (Central Iran)

In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...

prediction of the thromboembolic syndrome: an application of artificial neural networks in gene expression data analysis

the aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of ‎ gene expression data using artificial neural networks. the studied method was performed on a dataset which contained data about 117 patients admitted to a hospital in durham in 2009. of all the studied patients, 66 patients were suffering ...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Improving Direct Marketing Profitability with Neural Networks

Data mining in direct marketing aims at identifying the most promising customers to send targeted advertising. Traditionally, statistical models are used to make such a selection. The success of statistical models depends on the validity of certain assumptions about data distribution. Artificial intelligence inspired models, such as genetic algorithms and neural networks, do not need those assu...

application of artificial neural networks in prediction of saturated hydraulic conductivity using soil physical parameters

soil hydraulic properties such as saturated and unsaturated hydraulic conductivity play an important role in environmental research. since direct measurement of these soil hydraulic properties is time-consuming and costly, indirect methods such as pedotransfer functions and artificial neural networks (ann) were developed based on readily available parameters. in this study, the use of ann to pr...

application of artificial neural networks on drought prediction in yazd (central iran)

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...