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In view of the actual situation in the port of Tianjin, to overcome the traditional BP neural network method in the prediction model, such as low efficiency and poor accuracy of faults, the paper puts forward a kind of prediction model based on principal component analysis (PCA) and BP neural network. In this approach, use PCA to reduce the dimension of the original data, so as to achieve the purpose...
By using 10 groups of training data which were collected through testing a cellphone in order to find the overall functions in it, a size estimation model was built by using Mathematics, a tool to help implement a fitting method for the parameters in COCOMO model. By invoking the FindFit function and using the least square method, the parameters were fixed. With two groups of test data, the size estimation...
Various image filtering strategies have been effective, but most algorithms are to fail in general and create artifacts or remove image fine structures. Hence we propose a novel image filter based on grey polynomial model(GPM) to reduce image noise. The basic conceptions of grey polynomial model are described. The new image filter adopts each noisy pixel's neighborhoods to rectify its intensity value...
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