In this study, global solar radiation was predicted using artificial neural networks. Gradient descent back propagation with adaptive learning rate was used for training the artificial neural network. In order to train and test the neural network, meteorological day average data like maximum ambient temperature, minimum ambient temperature and minimum relative humidity values were used for pred...

In this brief, we develop an least mean square (LMS) algorithm that converge in a statistical sense to the global minimum of the mean square error (MSE) objective function. This is accomplished by estimating the gradient as a smoothed version of the MSE. The smoothed MSE objective begins as a convex functional in the mean. The amount of dispersion or smoothing is reduced, such that over time it...

Locating global minimum of certain atomistic ensemble is known to be a highly challenging and resource consuming task. This dataset represents joint usage of the semi-empirical PM7 Hamiltonian, Broyden-Fletcher-Goldfarb-Shanno algorithm and basin hopping scheme to navigate a potential energy surface. The Au20 nanocluster was used for calibration as its global minimum structure is well-known. Fu...

Magnetic resonance (MR) medical image segmentation plays an increasingly important role in computer-aided detection and diagnosis (CAD) of abnormalities. MRI segmentation manually is time consuming and consumes valuable human resources. Hence a great deal of efforts has been made to automate this process. Markov Random Field (MRF) has been one of the most active research areas of MRI brain segm...

climate change has direct and indirect consequences on crop production and food security. agriculture and cropproduction is one of the factors which depend on the weather conditions and it provides the human requirements inmany aspects. the objective of this study is to assess the impacts of future climatic change on irrigated rice yieldusing the ceres-rice model in the southern coast of caspia...

ongoing climate change has been a major global challenge since the 1880s. sequestration of carbon(c) in rangelands ecosystems could provide a net carbon sink to offset increases in atmospheric c in global scale. this research is aimed at estimating the above-ground biomass carbon sequestration potential in iran. for this purpose, total rangelands area and productivity data were extracted from t...

Comparison of theoretical and experimental structural parameters as well as nu(CO) frequencies for Os(3)(CO)(12) suggests that the density functional theory (DFT) method MPW1PW91 with a suitable ECP basis set including relativistic effects is a reliable method for predicting structures and vibrational frequencies of third row transition metal carbonyl derivatives. Using this method the structur...