| 赵静远,熊智新,梁龙,房桂干.投影寻踪分类模型在常见造纸纤维原料综合评价中的应用[J].中国造纸学报,2020,35(3):53-58 |
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| 投影寻踪分类模型在常见造纸纤维原料综合评价中的应用 |
| Application of Projection Pursuit Classification Model in Comprehensive Evaluation of Common Papermaking Materials |
| 投稿时间：2019-06-02 |
| DOI：10.11981/j.issn.1000-6842.2020.03.53 |
| 中文关键词: RAGA算法 PPC模型 分类 综合评价 |
| Key Words:RAGA algorithm PPC model classification comprehensive evaluation |
| 基金项目:中国林科院林业新技术所基本科研业务费专项资助（CAF，基金号：CAFYBB2019SY039）。 |
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| 中文摘要: |
| 将投影寻踪分类（PPC）模型与基于实数编码的加速遗传算法（RAGA）相结合，同时优化多个指标参数，将高维数据指标转化为低维空间上的一维投影值，建立RAGA-PPC模型，用于造纸纤维原料分类，并对造纸纤维原料进行综合评价。结果表明，基于RAGA-PPC模型的评价结果与造纸纤维原料实际分类结果一致，此方法客观可靠，精度高，具有一定的应用前景。 |
| Abstract: |
| In this paper， the projection pursuit classification （PPC） and accelerated genetic algorithm （RAGA） based on real coding were combined and optimized multiple index parameters to convert high-dimensional data indexes into one-dimensional projection. Based on the RAGA-PPC model， the various papermaking raw materials were classified， and evaluated effectively. The conclusion demonstrated that eva-luation result of RAGA-PPC model was consistent with the actual category of the papermaking raw materials. Furtherly this method has more advantages in objectivity， reliability， accuracy and has practical application prospects. |
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