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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...
The basic method of the neural networks for distinguishing chemical agents was analyzed. For fastness and accuracy, connecting the wavelet analysis with the neural networks organically, and based on the wavelet transfer and the neural networks, the system of the speedy features extraction and identification for chemical agent, the Neural Networks Distinguishing Chemical Agent (NNDCA) system, is founded...
The selection of parameters and structure are critical for wavelet neural networks (WNN) when they are used for fault diagnosis. Genetic algorithm is presented to optimize the structure and the parameters of WNN in the training process because of its good ability of global optimization. This method solves the main problem of easily falling into local extreme minimum to cause slow convergence when...
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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