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For the urgent need of storm forecasting and warning, we achieved the rainstorm case retrieve system for the first time. We extracted the rainstorm radar image's features from historical data set by using digital image processing technology, reduced the unwanted attributes, mined the minimum decision rules according to rough set theory, formed rainstorm knowledge base and case base, and achieved the...
Almost all researches are carried out in two-dimensional space in the field of meteorology. However these researches are in lack of intuitive traits and have a low degree of visualization. This work is dedicated to the researches on three-dimensional reconstruction of the strong convective cell. Firstly, the contours in correlated faultage were extracted from meteorological radar base data. Then they...
In order to form an algorithm for distribution network routing, an automatic routing method of distribution network planning was proposed based on the shortest path. The problem of automatic routing was divided into two steps in the method: the first step was that the shortest paths along streets between substation and load points were found by the basic ant colony algorithm to form a preliminary...
A novel method of the support vector machine (SVM) is proposed in the sand-dust storm-forecasting model. The development of the model includes pre-treating original data by using principal component analysis (PCA), choosing a kernel function (i.e. the radial basic function (RBF) kernel), defining the search region of (C, sigma2 ) by analyzing the influence on SVM classifier of the regularization parameter...
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