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Precise forecasting for shareprice is very important to investment and financing. Support vector regression, called as SVR, is a novel learning algorithm based on statistical learning theory, which has greater generalization ability than traditional neural networks. In order to select the appropriate parameters of SVR, particle swarm optimization is introduced to choose the user-determined parameters...
Support vector machine (SVM) is a new machine learning method based on statistical learning theory, which is a powerful tool for solving the problem with small sample, nonlinear and high dimension. However, the practicability of SVM is affected due to the difficulty of selecting appropriate SVM parameters. Particle swarm optimization (PSO) is a new optimization method, which is motivated by social...
Along with rock mass blasting engineer increasing in our country, how to analyze and predict the peak acceleration of blasting vibration of rock mass from monitor data becomes a focus problem. The monitor data of peak acceleration has complex nonlinear characteristic, which makes it difficult to be analyzed and predicted. This paper uses support vector machine based on statistical learning theory...
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