| Effective forecast of Northeast Pacific sea surface temperature based on a complementary ensemble empirical mode decomposition–support vector machine method |
| LI Qi-Jie;ZHAO Ying;LIAO Hong-Lin;LI Jia |
| 关键词：海洋表面温度;;经验模态分解;;支持向量机;;预测 |
| 主要内容：海洋表面温度(sea surface temperature,SST)对气候有着很大影响,但其所具有的非线性、无明显周期、强随机性等特点,给SST预测分析带来了很大的困难。本文将互补集合经验模态分解(complementary ensemb |
| 《Atmospheric and Oceanic Science Letters》 2017,10(03):261-267 |
| 全文下载请进入http://hightech.stlib.cn/tpi_1/sysasp/include/index.asp |
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