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.
In this paper, a model of orthogonal multiwavelets neural network ensemble is proposed. The neural network ensemble consists of component orthogonal multiwavelets neural networks where each component neural network is trained by back propagation (BP) algorithm and with orthogonal multiwavelets functions in the hidden layer. Due to the orthogonality of orthogonal multiwavelets functions, all the hidden...
In this paper, we proposed a neural network approach to identify distortion type of images in image quality assessment, in order to remove subjective factors to make the quality evaluation much more fair. Based on image singular value decomposition, the algorithm mixed with neural networks for training images, reflecting image quality qualitatively. Repeated experiment results show that the method...
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.