Introduction: Voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, Alzheimer's disease and Parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). The aim of this study is evaluate the effectiveness of this method in detection of differen...

In this paper, we presented the performance of forecasting model and error correction will affect the accuracy of short-term load forecasting. Least squares support vector machines (LS-SVM) based on improved particle swarm optimization is selected as load forecasting model. Forecasting accuracy and generalization performance of LS-SVM depend on selection of its parameters greatly. Adaptive part...

Hybrid model is a popular forecasting model in renewable energy related forecasting applications. Wind speed forecasting, as a common application, requires fast and accurate forecasting models. This paper introduces an Empirical Mode Decomposition (EMD) followed by a k Nearest Neighbor (kNN) hybrid model for wind speed forecasting. Two configurations of EMD-kNN are discussed in details: an EMD-...

With increasing importance being attached to big data mining, analysis, and forecasting in the field of wind energy, how to select an optimization model to improve the forecasting accuracy of the wind speed time series is not only an extremely challenging problem, but also a problem of concern for economic forecasting. The artificial intelligence model is widely used in forecasting and data pro...

Artificial neural networks have emerged as an important quantitative modeling tool for business forecasting. This chapter provides an overview of forecasting with neural networks. We provide a brief description of neural networks, their advantages over traditional forecasting models, and their applications for business forecasting. In addition, we address several important modeling issues for f...

Optimal wave energy control is noncausal as the command optimized based on incoming force. Therefore, implementation of requires forecasting future A real-time latching algorithm short-term force prediction developed in this study to tackle such noncausality. The forces are forecasted using a gray model. receding horizon strategy used optimize online, over interval. Based predicted forces, powe...

background: carpal tunnel syndrome (ctu) is the most common neuropathy in the body and one of the most important causes of occupational disability. the aim of the present study was to compare the diagnostic power of doppler sonography and gray scale in diagnosing cts and their comparison with nerve conduction studies (ncv). methods: in this analytical study, diagnostic value of doppler and gray...