The prediction of wind speed is imperative nowadays due to the increased and effective generation power. Wind power clean, free conservative renewable energy. It necessary predict speed, implement generation. This paper proposes a new model, named WT-GWO-BPNN, by integrating Wavelet Transform (WT), Back Propagation Neural Network (BPNN) Grey Wolf Optimization (GWO). wavelet transform adopted de...

in this paper, i develop three forecasting models: namely structural, times series, and artificial neural networks; to forecast iranian inflation rates. the structural model uses aggregate demand and aggregate supply approach, the time series model is based on the standard arlma technique, and the artificial neural network applies multi-layer back propagation model the latter, which is rooted i...

estimation of the metal value in the metallic deposits is one of the important factors to evaluate the deposits in exploration studies andmineral processing. therefore, one accurate estimator is essential to obtain a fine insight into the accumulation of the ore body. thereare geostatistical methods for the estimation of the concentration of iron which performance of these models is complexity ...

the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...

In this paper we first show that standard BP algorithm cannot yeild to a uniform information distribution over the neural network architecture. A measure of sensitivity is defined to evaluate fault tolerance of neural network and then we show that the sensitivity of a link is closely related to the amount of information passes through it. Based on this assumption, we prove that the distribu...

The colorimetric error depends on the spectrophotometric inaccuracy. In this paper, a ‎new method is introduced for determining the relationship between spectrophotometric ‎error and colorimetric inaccuracy. The error propagation in colorimetric parameter ‎calculation is evaluated using a linear relation between variance of reflectance spectra ‎and CIE tristimulus values. This linear formula ca...