| 基于免疫无监督分类的老年人行为分析 |
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| 引用本文： | 孔令富,李海涛. 基于免疫无监督分类的老年人行为分析[J]. 吉林大学学报(工学版), 2011, 41(6): 699-703 |
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| 作者姓名： | 孔令富 李海涛 |
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| 作者单位： | 燕山大学信息科学与工程学院,河北秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金项目(60975062); 河北省自然科学基金项目(F2010001295) |
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| 摘 要： | 在建立行为特征量化模型的基础上,提出了无监督分类算法对日常行为规律进行分析和表示,并利用免疫原理对分类进行优化和改进。对比实验表明,该方法有效地克服了传统聚类方法的收敛速度慢和极值点等问题,实现了较好的分类效果。
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| 关 键 词： | 人工智能 行为分析 免疫 无监督分类 |
Elderly behavior analysis based on immune unsupervised classification |
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| KONG Ling-fu,LI Hai-tao. Elderly behavior analysis based on immune unsupervised classification[J]. Journal of Jilin University:Eng and Technol Ed, 2011, 41(6): 699-703 |
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| Authors: | KONG Ling-fu LI Hai-tao |
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| Affiliation: | KONG Ling-fu,LI Hai-tao(College of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,China) |
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| Abstract: | Based on the characteristic quantification models of behavior,an unsupervised classification algorithm was used to analyze and describe the daily pattern of the elderly behavior.Based on the immune principle the classification method was optimized and improved.Results of contrast experiments show that the proposed method is effective to overcome the shortcomings of the traditional clustering method,such as slow convergence and extreme points,thus realizing a better classification rate. |
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| Keywords: | artificial intelligence behavior analysis immune unsupervised classification |
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