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- W1980175539 abstract "By using the real operation data of the thermal power plant, a new modeling method, which is called the reversed modeling method, is presented, so that accurate model of double-ball mill was established by the method. In order to solve the problem which is how to select modeling variables, gray relational analysis such as the slope, relative variability and uniform association method is presented and used to variables selecting. As an example, double ball-mill level was used as the research object, using the above three kinds of gray correlation to select preferable variables. Meanwhile, analysis the effect of applying the gray correlation to reversed modeling in two ways, such as the variable selection results and modeling accuracy. The analysis results show that the reversed model method could achieved the higher precision results when gray correlation method is applied to select the input variables of the model. The slope association method is not only simple in calculation and easy to understand the meaning, but also with reasonable result of variable selection and higher model accuracy." @default.
- W1980175539 created "2016-06-24" @default.
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- W1980175539 date "2010-01-01" @default.
- W1980175539 modified "2023-09-27" @default.
- W1980175539 title "Application of Grey Correlation and Reversed Modeling Method on the Soft-Measuring of Ball Mill Level" @default.
- W1980175539 doi "https://doi.org/10.1115/imece2010-37361" @default.
- W1980175539 hasPublicationYear "2010" @default.
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