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In order to make the detecting rate faster and improve the accuracy of network intrusion detection, this paper ameliorated a network intrusion detection method which was based on combining support vector machines and LVQ (Learning vector quantization) neural network algorithm The method combines the popularizing capability of SVM and the learning capability of LVQ neural network. It overcame the shortcomings...
A method of judging furnace burning outfire based on flame image information was studied. Three feature vectors were extracted from furnace flame images. A method of using Support Vector Machine combined with furnace operation conditions to judge furnace outfire was designed. According to signals of coal mill outage and coal valve switch, burner outfire was judged when powder burner off. And combustion...
A method of measuring moisture content of coal based on standing-wave ratio was put forward. Because the permittivity of coal was also influenced by the temperature and degree of compaction of coal, and there was a complicated nonlinear relationship among the moisture content of coal, permittivity, temperature and degree of compaction, the least squares support vector machine was used to build the...
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