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Wind energy integration research generally relies on complex sensors located at remote sites. The procedure for generating high-level synthetic information from databases containing large amounts of low-level data must therefore account for possible sensor failures and imperfect input data. Data-mining methods are widely used for recognizing the relationship between wind farm power output and wind...
On the basis of the current database backup mechanism research, according to requirements of various enterprises. In this paper the mechanisms which contain integrated and reasonable backup methods are presented and implemented. The mechanisms can decrease the risk of losing the meta-data related to enterprise application when database encounters unpredicted problems and also have very little influence...
T-wave alternans (TWA) is a variation in the amplitude or morphology of the T wave of the beat-to-beat ECG which provides a noninvasive and clinically useful marker for the risk of sudden cardiac death (SCD) caused by life threatening arrhythmias. Detection of beat-to-beat microvolt fluctuation of the T wave has been made possible with the use of advanced signal processing techniques and high-resolution...
In this paper, radial basic function neural network (RBFNN) is used for educational expenditure forecasting. But the input space is heavily self-correlated, and the input numbers are too many, in that case, canters of the neurons will be overlapped, therefore the accuracy of forecasting by RBFNN will be descendant. Principal component analysis is a dimensionality reduction technique based on extracting...
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