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- W2735699294 abstract "In this paper, we take the average impact value method as the evaluation of neural network variable correlation indicators, analysis the data provided by Professor P. Cortez and A. Morais from University of Minho (Portugal) using the MIVBP algorithm to filtrate 13 characterization factors to get 7 characterization parameters affect forest fires, construct the simulation model of the prediction of forest fires based on the support vector machine algorithm, using a test set for testing, the accuracy rate reached 91.89%." @default.
- W2735699294 created "2017-07-21" @default.
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- W2735699294 date "2017-05-01" @default.
- W2735699294 modified "2023-10-02" @default.
- W2735699294 title "Predictive study of forest fires based on MIVBP-SVM" @default.
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- W2735699294 doi "https://doi.org/10.1109/ccdc.2017.7979253" @default.
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