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The flood disaster has become one of the natural disasters, which brings serious damage to human now. In 2010 July, it is happened in more than a hundred years that the flood occurred in the northwestern of Pakistan. This paper uses this example to identify that the country's flood caused great casualties and economic loss. With the comprehensive consideration of precipitation, rivers, terrain, land...
Though the atmospheric environment accident occurred frequently in recent years, there has been still no effective method for risk sources identification now. Based on simulating the whole process of accident, namely the sources, the development and the influences of the atmosphere environmental accident, a model database was constructed. Additionally, an identification method for Atmospheric Risk...
To assess risk of electrical power network planning in an effective and fast way, the forecasting model of least square support vector machine (LS-SVM) based on pruning algorithm is established. Relative to the classical SVM, the least square SVM (LS-SVM) can transform a quadratic programming problem into a linear programming problem thus reducing the computational complexity. But sparseness is lost...
In this paper, a model based on principal component analysis (PCA) and support vector machine (SVM) is used for the risk assessment in the electrical power network planning project to discriminate good projects from bad ones, and a set of comprehensive index system is established here according to the practical situation. In order to verify the effectiveness of the method, a group of actual projects...
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