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- W2357108058 abstract "Due to the extremely complicated mechanism in sugar boiling process with the multi-mode characteristics of qualitative,quantitative,and semi-quantitative information,an expert system of analyzing sugar boiling crystallization state based on knowledge is constructed by combining expert knowledge and worker experience with rough set,support vector machine and expert system. Fuzzy C-average clustering is applied to discriminate sample data. Based on attributive value reduction of rough set,redundancy information is reduced and analyzed knowledge corresponding to the crystallization state is gained. In order to improve the expert system's online decision-making capacity,a prediction model was built to analyze the sugar boiling crystallization state by means of vector machine and using the knowledge acquired as learning sample. The simulation and results of experiment show that the model is feasible with a correct prediction rate of 98%." @default.
- W2357108058 created "2016-06-24" @default.
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- W2357108058 date "2013-01-01" @default.
- W2357108058 modified "2023-09-23" @default.
- W2357108058 title "Detection and analysis of sugar boiling crystallization state based on knowledge" @default.
- W2357108058 hasPublicationYear "2013" @default.
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