Method for identifying years of Luzhou-flavor liquor through three-dimensional fluorescence spectrum combined with non-negative matrix factorization
The invention discloses a method for identifying years of Luzhou-flavor liquor through three-dimensional fluorescence spectrum combined with non-negative matrix factorization and belongs to the technical field of liquor identification. The method comprises the steps that firstly, a fluorescence spec...
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| creator | ZHU CHUN ZHU ZHUOWEI WU YAMIN XU RUIYU CHEN GUOQING ZHU TUO |
| description | The invention discloses a method for identifying years of Luzhou-flavor liquor through three-dimensional fluorescence spectrum combined with non-negative matrix factorization and belongs to the technical field of liquor identification. The method comprises the steps that firstly, a fluorescence spectrophotometer is used for measuring three-dimensional fluorescence spectrum charts of the Luzhou-flavor liquor of different years, and obtaining three-dimensional fluorescence spectrum data; then adopting a multiplicative non-negative matrix factorization method for decomposing a spectrum data matrix, and treating an obtained coefficient matrix as characteristic parameters of a spectrum matrix; then treating the characteristic parameters as input of a support vector machine, using a cross validation method for searching for the optimum parameter of the support vector machine, establishing a prediction model under the optimum parameter, and achieving classified identification on the Luzhou-flavor liquor of different years. By means of the method, support is provided for identification and development technologies of aged liquor. |
| format | Patent |
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The method comprises the steps that firstly, a fluorescence spectrophotometer is used for measuring three-dimensional fluorescence spectrum charts of the Luzhou-flavor liquor of different years, and obtaining three-dimensional fluorescence spectrum data; then adopting a multiplicative non-negative matrix factorization method for decomposing a spectrum data matrix, and treating an obtained coefficient matrix as characteristic parameters of a spectrum matrix; then treating the characteristic parameters as input of a support vector machine, using a cross validation method for searching for the optimum parameter of the support vector machine, establishing a prediction model under the optimum parameter, and achieving classified identification on the Luzhou-flavor liquor of different years. 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| title | Method for identifying years of Luzhou-flavor liquor through three-dimensional fluorescence spectrum combined with non-negative matrix factorization |
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