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应用SOFM神经网络对福州市道路交通事故的研究 被引量:2

Categorized Analysis of Traffic Accidents in Fuzhou City By SOFM Neural Networks
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摘要 应用SOFM(自组织特征映射)神经网络对福州市不同原因的交通事故进行了分类分析,以便针对不同种类和特征的交通事故采取专门的措施,并根据实际数据分析提出了相应的防范和控制措施。 In order to deal with different categories of traffic accidents and adopt specific measures, SOFM Neural Networks is used in categorized analysis of the traffic accidents caused by different causations in Fuzhou. According to the analysis on the actual data, some corresponding accident preventions and control measures were brought forward.
机构地区 福建农林大学
出处 《森林工程》 2006年第4期35-38,共4页 Forest Engineering
基金 福建省教育厅科学基金资助项目(JA04190)
关键词 交通事故 交通安全 神经网络 自组织特征映射 tragic accident tragic safety Neural Networks SOFM (Self-organizing Feature Map)
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