The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Due to the limited data variables of the spacecraft solar array, a comparison was made between the maximum power point voltage and current data of the solar array in the case of normal, short circuit, and irradiation failure. The maximum power point voltage and current data are used as the description of faults as the basis for fault diagnosis. Because of the cross-over phenomenon of the fault samples,...
When the number of labeled samples is limited, traditional supervised feature selection techniques often fail due to unrepresentative sample problem. However, in classification of hyperspectral data, the labeled samples are often difficult, expensive or time-consuming to obtain. Recently, several semi-supervised feature selection algorithms have been proposed, which aim at doing feature selection...
Band selection is an important preprocessing procedure for analysis of hyperspectral data, which suffers from the vast amount of data and Hughes phenomenon. In recent years, band (feature) selection using Neural Network such as Multi-layer Forward Neural Network (MLFNN), Radial Basis Function Neural Network (RBFNN) and Double Parallel Feedforward Neural Network (DPFNN) becomes a promising method for...
The key computation of bridge safety fuzzy comprehensive assessment using analytic hierarchy process is to realize membership transformation. However the existing membership transformation methods can't indicate "which parts in index membership are useful for object classification and which parts are useless". It results in that the redundant data of no use in object classification are used...
Band (feature) selection for multispectral or hyperspectral data is an effective method to reduce dimension for cutting down the computational cost and alleviating the Hughes phenomenon. An efficient feature selection method based on evolution algorithm (PSO and GA) and sequential search is proposed. The method embeds the sequential search into the evolution optimization for better ability of the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.