Artificial Neural Network for Precipitation and Water Level Predictions of Bedup River

Abstract — This paper presents Artificial Neural Network (ANN) implementation for the Radio Frequency (RF) and Mechanical modeling of lateral RF Micro Electro

Artificial Neural Network (ANN) has proved to be a convenient tool for modeling of this complex, heterogeneous reaction runs within the both (kinetic and diffusion) regions,

In this work, artificial neural networks were used to predict the level of fungal growth on surfaces painted with water-based paints with biocide formulations containing

In line with this, artificial neural network technology of backpropagation neural network (BPNN), radial basis function neural network (RBFNN) and generalized regression

Thus, this study aims to assess the use of Artificial Neural Networks (ANN) to predict particleboard quality, using as input variables the density (quantitative variable) and

Considering these difficulties, this paper presents the evaluation of segmentation by artificial neural network (ANN) SOM to automatic detection of nodules contour in

In this study, an artificial neural network method using the back-propagation algorithm was proposed for the prediction of ferric iron precipitation in uranium bioleaching

In this paper we proposed a novel dynamic trust model as one kind of decision support systems, using RBF artificial neural network to determine trust level and mitigate the number