1.A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network

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Zhou, QP, Jiang, HY, Wang, JZ, Zhou, JL     Less

SCIENCE OF THE TOTAL ENVIRONMENT[0048-9697], Published 2014, Volume 496, Pages 264-274

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WOS核心合集引用: 236  2023影響因子:  8.2  发表年影響因子:  4.099 

2.A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China

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SCIENCE OF THE TOTAL ENVIRONMENT[0048-9697], Published 2023, Volume 899,

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