Height prediction in Directed Metal Deposition with Artificial Neural Networks

Prediction the Return Fluctuations with Artificial Neural Networks' Approach

Time changes of return, inefficiency studies performed and presence of effective factors on share return rate are caused development modern and intelligent methods in estimation and evaluation of share return in stock companies. Aim of this research is prediction of return using financial variables with artificial neural network approach. Therefore, the statistical population of this study incl...

Prediction of Sediment Deposition in Reservoir Using Artificial Neural Networks

The use of art ificial neural network (ANN)modeling for prediction and forecast ing variables in water resources engineering are being increasing rapidly Infrastructural applicat ions of ANN in terms of selection of inputs, architecture of networks, training algorithms, and selection of training parameters indifferent types of neural networks used in water resources engineering have been report...

Artificial neural networks versus bivariate logistic regression in prediction diagnosis of patients with hypertension and diabetes

Background: Diabetes and hypertension are important non-communicable diseases and their prevalence is important for health authorities. The aim of this study was to determine the predictive precision of the bivariate Logistic Regression (LR) and Artificial Neutral Network (ANN) in concurrent diagnosis of diabetes and hypertension. Methods: This cross-sectional study was performed with 12000 ...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Artificial neural networks: applications in pain physiology

Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...