| 基于脑信息特征和SVM的行为异常检测研究 |
| |
| 引用本文： | 毕路拯,吴平东,玉井宽. 基于脑信息特征和SVM的行为异常检测研究[J]. 计算机工程与应用, 2006, 42(26): 178-179,194 |
| |
| 作者姓名： | 毕路拯 吴平东 玉井宽 |
| |
| 作者单位： | 北京理工大学机械与车辆工程学院,北京,100081;日本精神技术研究所,日本,东京 |
| |
| 基金项目： | 高等学校博士学科点专项科研项目 |
| |
| 摘 要： | 采用脑信息特征检测方法对600名临床诊断行为异常者和400名行为正常者进行测试,并对测试的数据进行特征提取。然后对这些特征进行规范化处理并利用支持向量机方法,根据脑信息特征建立异常行为的诊断模型。实验结果表明该诊断模型是有效的,它是基于脑信息特征的人才选拔决策系统的重要部分。
|
| 关 键 词： | 脑信息特征 行为异常 支持向量机 诊断模型 |
| 文章编号： | 1002-8331-（2006）26-0178-02 |
| 收稿时间： | 2006-04-01 |
| 修稿时间： | 2006-04-01 |
Study on Behavior Abnormality Detection Based on Brain Information Features and SVM |
| |
| BI Lu-zheng,WU Ping-dong,TAMAI HIROSI. Study on Behavior Abnormality Detection Based on Brain Information Features and SVM[J]. Computer Engineering and Applications, 2006, 42(26): 178-179,194 |
| |
| Authors: | BI Lu-zheng WU Ping-dong TAMAI HIROSI |
| |
| Affiliation: | School of Mechanical and Vehicular Engineering,Beijing University of Technology,Beijing 100081;Psychotechnological Institute of Japan,Tokyo, Japan |
| |
| Abstract: | 400 subjects with behavior abnormality and 600 subjects without behavior abnormality are tested by brain information processing detection approach.And then,some features are extracted and normalized from the data obtained, based on which the diagnosis model of mental disorder is proposed according to support vector machines technlque.The experiment shows that the diagnosis model is effective and practical,which is an important part of the personnel selection decision system based on brain information feature. |
| |
| Keywords: | brain information feature behavior abnormality support vector machines diagnosis model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
