在对洞庭湖的水质状态进行分析时，运用基于改进蚁群算法的投影寻踪评价模型对其2001年的水质状态进行评价。
We use the projection pursuit model based on the improved ant colony algorithm to analyze the status of the water quality of the Dongting Lake in 2001.
提出了一种基于投影寻踪回归的文本自动分类模型。
This paper presents an automated text classification model based on projection pursuit regression.
以投影寻踪理论为基础，利用动态聚类方法构建投影指标，建立了水资源评价的投影寻踪动态聚类模型。
Secondly, a new projection index on the basis of dynamic cluster rule is constructed, which avoids the problem of parameter ca.
将投影寻踪（PP）与高维时间序列分析结合起来，建立了地震PP综合预测模型。
Combining Projection Pursuit(PP) and highdimensional time series analysis, the synthetic earthquake prediction model of highdimensional PP time series is built.
通过水环境中的两个实例进行了预测应用，结果表明，预测效果较好，并与投影寻踪回归模型（PPR）进行了对比。
The results from two cases of model prediction in water environment show better prediction effect and are compared with the project pursuit regressive (PPR) model.
提出了水资源工程方案优选的投影寻踪(PP)模型的新方法。
A new method, named projection pursuit (PP) model is presented in this paper to optimize choice of water resources engineering schemes.
最后，对基本投影寻踪聚类模型进行改进，重点是对目标函数的改进。
Finally, the basic projection pursuit clustering model is improved, in particularly the improvement of the objective function.
其次，利用智能算法对投影寻踪聚类模型进行优化。
Secondly, this thesis used intelligent algorithm to optimization projection pursuit clustering model.
依据基于遗传算法的投影寻踪聚类模型方法对四川省县级疾控机构工作产出进行评价。
Projection Pursuit classification method based on the genetic algorithms projection to deliver to the Sichuan county level CDC work carries on the appraisal.
以投影寻踪理论为基础，利用动态聚类方法构建投影指标，建立了水资源评价的投影寻踪动态聚类模型。
Secondly, a new projection index based on dynamic cluster rule is constructed in the PPDC model, which would finish the sample clustering based on the projected characteristic value.
首次依据动态聚类思想，建立了投影寻踪动态聚类模型。
The method of Projection Pursuit dynamic cluster method (PPDC) is established with the idea of the dynamic cluster rule.
首次依据动态聚类思想，建立了投影寻踪动态聚类模型。
The method of Projection Pursuit dynamic cluster method (PPDC) is established with the idea of the dynamic cluster rule.
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