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Download Presentation PowerPoint Slideshow about 'MVN- based Multilayer Feedforward Neural Network (MLMVN) and a Backpropagation Learning Algorithm' - orien An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. Experiment 1 (2700 training pattern vectors corresponding to 72 images): six types of blur with the following parameters: MLMVN structure: 5356 1) The Gaussian bluris considered with 2) The linear uniform horizontal motion blur of the lengths 3, 5, 7, 9; 3) The linear uniform vertical motion blur of the length 3, 5, 7, 9; 4) The linear uniform diagonal motion from South-West to North-East blur of the lengths 3, 5, 7, 9; 5) The linear uniform diagonal motion from South-East to North-West blur of the lengths 3, 5, 7, 9; 6) rectangular has sizes 3x3, 5x5, 7x7, 9x9.

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Item Metadata Title Feedforward neural network design with application to image subsampling Creator Publisher University of British Columbia Date Issued 1999 Description Feedforward artificial neural networks (FANNs), which have been successfully applied to various image processing tasks, are particularly suitable for image subsampling due to their high processing speed. However, the performance of FANNs in image subsampling, which depends on both the FANN topology and the FANN training algorithm, has not been acceptable so far. High performance image subsampling is important in many systems, such as subband decomposition systems, and scalable image and video processing systems. Custom Ai Droid English Story Translation Spanish.