首页|Chang'an University Reports Findings in Support Vector Machines (Analysis of inf luencing factors of traffic accidents on urban ring road based on the SVM model optimized by Bayesian method)
Chang'an University Reports Findings in Support Vector Machines (Analysis of inf luencing factors of traffic accidents on urban ring road based on the SVM model optimized by Bayesian method)
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New research on Machine Learning-Sup port Vector Machines is the subject of a report. According to news reporting ori ginating from Xi'an, People's Republic of China, by NewsRx correspondents, resea rch stated, "Based on small scale sample of accident data from specific scenario s, fully exploring the potential influencing factors of the severity of traffic accidents has become a key and effective research method. In order to analyze th e factors mentioned above in the scenario of urban ring roads, this paper collec ted data records of 1250 traffic accidents involving different severity on urban ring road of a central city in northwest China in the past 3 years." Financial supporters for this research include Science&Technology D evelopment Fund of Tianjin Education Commission for Higher Education, Tianjin Mu nicipal Transportation Commission Science and Technology Development Plan Projec t.
Xi'anPeople's Republic of ChinaAsiaMachine LearningSupport Vector Machines
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