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The key technology to analyzing electricity data is cluster methods, of which the traditional way has already lost its agility and quality due to the increasing data volume. To this end, this paper presented an electricity data mining structure: first the higher dimensional data should be reduced to lower ones, second the reduced-dimensional results should be classified into typical usage behavior...
Through the measurement of molten steel and implanting equivalent blackbody, the characteristics of impurities in molten steel is extracted by analyzing the relationship between wavelength and spectral emissivity. The molten steel which contains impurities is separated by using self-organizing feature map neural network. Design consideration of the molten impurities filter system is then presented,...
A new physical layer network discovery approach is proposed based on tree-model which manages to solve the multi-subnet problem. According to the theory of maximum set and a set of formula, the method transforms the multi-subnet problem to single-subnet and simplifies the difficulty of the problem. The paper also figures out the critical value of the lost ratio which presents the completeness of the...
Knowledge discovery from non-interactive literature is a new method in informatics, which is useful to efficient usage of literature and discovery of implicit knowledge. In order to introduce the method into the research of the traditional Chinese medicine, using natural language processing (NLP) technique and method, this paper focuses on the research of data base required by Chinese non-interactive...
In this paper, Chinese Medicine Pulse is dealt in view of measuration and information extraction. We analyze the research status and problems in quantifying pulse objectively. A mathematical model of ancient pulse is constructed by utilizing the technique and method of natural language processing (NLP), according to traditional Chinese medicine theory and pulse-symptom knowledge. And the new description...
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