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- W2000807716 abstract "This paper uses support vector machine to research on livestock production prediction in heilongjiang province. Use SVM on the input and output data for training and learning, approximate the implied function relationship by historical data, complete the mapping of the new data series, in order to complete the livestock production prediction for future years, and compare the prediction effects with other methods. From the results we can see that, the prediction accuracy of livestock production of the SVM model is superior to other prediction methods." @default.
- W2000807716 created "2016-06-24" @default.
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- W2000807716 date "2013-08-01" @default.
- W2000807716 modified "2023-09-23" @default.
- W2000807716 title "USE Support Vector Machine to Research on Livestock Production Prediction in Heilongjiang Province" @default.
- W2000807716 cites W163939222 @default.
- W2000807716 doi "https://doi.org/10.4028/www.scientific.net/amm.380-384.4757" @default.
- W2000807716 hasPublicationYear "2013" @default.
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