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| Application of Projection Pursuit Classification Model in Comprehensive Evaluation of Common Papermaking Materials |
| Received:June 02, 2019 |
| DOI：10.11981/j.issn.1000-6842.2020.03.53 |
| Key Words:RAGA algorithm;PPC model;classification;comprehensive evaluation |
| Fund Project: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）。 |
| Author Name | Affiliation | Postcode | | ZHAO Jingyuan* | Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology， Nanjing Forestry University， Nanjing， Jiangsu Province， 210037 | 210037 | | XIONG Zhixin | Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology， Nanjing Forestry University， Nanjing， Jiangsu Province， 210037 | 210037 | | LIANG Long | Institution of Chemical Industry of Forestry Products， CAF， Nanjing， Jiangsu Province， 210042 | 210042 | | FANG Guigan | Institution of Chemical Industry of Forestry Products， CAF， Nanjing， Jiangsu Province， 210042 | 210042 |
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| 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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