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In this paper, a new mathematical morphology wavelet denoising method which based on separating defect points was put forward for the actual needs of the in-service pipeline inspection. This method uses wavelet maximum value algorithm to extract the edge of defect area. It use the single-output mode of BP neural network in pattern recognition by choosing small length, invariant moment, grey energy...
Support Vector Machines (SVM) represents a new and very promising approach to pattern recognition based on small dataset. The approach is systematic and properly motivated by Statistical Learning Theory (SLT). Training involves separating the classes with a surface that maximizes the margin between them. An interesting property of this approach is that it is an approximate implementation of Structural...
The optimal problem of scheduling limited advertising resources was studied in this paper. Under the circumstances that the benefits of both Web sites and advertisers were balanced, a model based on hybrid pricing was proposed for maximizing website revenue. The relation between impression and clicks ratio was fitted by BP neural network, and the constrained optimization problem was converted into...
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