文献类型：期刊文献

英文题名：Structure control classification and optimization model of hollow carbon nanosphere core polymer particle based on improved differential evolution support vector machine

作者：Yang, Zhen[1];Yu, Qingni[2];Dong, Wenping[2];Gu, Xingsheng[1];Qiao, Wenming[1];Liang, Xiaoyi[1]

机构：[1]E China Univ Sci & Technol, Inst Informat Sci, Minist Educ, State Key Lab Chem Engn,Key Lab Special Funct Pol, Shanghai 200237, Peoples R China;[2]China Astronaut Res & Training Ctr, Natl Key Lab Human Factors Engn, Beijing 100095, Peoples R China

年份：2013

卷号：37

期号：12-13

起止页码：7442

外文期刊名：APPLIED MATHEMATICAL MODELLING

收录：;EI(收录号：20132516438092);WOS:【SCI-EXPANDED(收录号:WOS:000321535500023)】；

基金：This work was partly supported by National Science and Technology Ministry (2009BAE72B04), National Science Foundation of China (21177038), National Project of Scientific and Technical Supporting Programs Funded by Ministry of Science & Technology of China (2007BAE55B00), National High Technology Research and Development Program of China (2007AA05Z311) and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Hollow carbon nanosphere; Structure control; Support vector machine; Improved differential evolution algorithm; Classification; Optimization

摘要：The structure of core polymer particle is an important index of efficiency in hollow carbon nanosphere. How to control and optimize the structure of core polymer particle has been investigated using pattern recognition method in this research. A novel method of pattern recognition material design based on differential evolution support vector machine was proposed. The control model was established and software was adopted to carry out a digital simulation for the model. Using the model, we found the control criteria and optimized conditions for pore structure of composite polymer. Then, the results are compared to other classification methodologies. Experimental results show this model has higher classification accuracy in most of data sets. Experimental and dynamics results show that the properties of hollow carbon nanosphere have been greatly improved. (C) 2013 Elsevier Inc. All rights reserved.