| 多元自适应样条回归预报浮游植物总量分析 |
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| 引用本文： | 王洪礼,向建平,葛根.多元自适应样条回归预报浮游植物总量分析[J].海洋技术,2006,25(3):7-9. |
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| 作者姓名： | 王洪礼 向建平 葛根 |
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| 作者单位： | 天津大学机械工程学院,天津,300072 |
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| 基金项目： | 国家自然科学基金资助项目(10472077) |
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| 摘 要： | 在浮游植物总量与环境因子的定量关系研究中,使用了多元自适应样条回归模型。基于2003年5-9月渤海湾地区浮游植物总量及各种环境因子的实测数据,经过与投影寻踪回归模型预报结果对比,表明多元自适应样条回归很好地反映了浮游植物总量与环境因子定量关系并且是预报赤潮的较好模型。
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| 关 键 词： | 赤潮 浮游植物 多元自适应回归 投影寻踪回归 |
| 文章编号： | 1003-2029（2006）03-0007-03 |
| 收稿时间： | 2006-03-11 |
| 修稿时间： | 2006年3月11日 |
The Application of Multivariate Adaptive Regression Splines in Forecast of Total Number of Phytoplankton |
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| WANG Hong-li,XIANG Jian-ping,GE Gen.The Application of Multivariate Adaptive Regression Splines in Forecast of Total Number of Phytoplankton[J].Ocean Technology,2006,25(3):7-9. |
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| Authors: | WANG Hong-li XIANG Jian-ping GE Gen |
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| Institution: | School of Mechanical Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: | The model of multivariate adaptive regression splines is suggested in analysis of quantitative association between total number of phytoplankton and environmental actors.Based on the data of harmful algal and environmental actors in Bohai bay,it is shown that multivariate adaptive regression splines is a good method to post quantitative association between total number of phytoplankton and environmental factors and forecast phytoplankton in contrast to projection pursuit regression. |
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| Keywords: | Harmful algal Phytoplankton Multivariate adaptive regression splines Projection pursuit regression |
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