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人工神經網을 利用한 高速道路 自動 有故感知 模型의 開發 : Development of freeway automatic incident detection model using artificial neural networks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박창호 | - |
| dc.contributor.author | 장세봉 | - |
| dc.date.accessioned | 2010-02-05T08:03:58Z | - |
| dc.date.available | 2010-02-05T08:03:58Z | - |
| dc.date.copyright | 1997. | - |
| dc.date.issued | 1997 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000079003 | kog |
| dc.identifier.uri | https://hdl.handle.net/10371/50967 | - |
| dc.description | 학위논문(박사)--서울大學校 大學院 :土木工學科,1997. | ko |
| dc.format.extent | vi, 116 장 | ko |
| dc.language.iso | ko | ko |
| dc.publisher | 서울大學校 大學院 | ko |
| dc.subject | freeway incident detection model | ko |
| dc.subject | 人工神經網 | ko |
| dc.subject | artificial neural networks | ko |
| dc.subject | 高速道路有故感知模型 | ko |
| dc.subject | multi-layer perceptron | ko |
| dc.subject | 多層퍼셉트론 | ko |
| dc.subject | backpropagation algorithm | ko |
| dc.subject | 逆傳播 | ko |
| dc.subject | sensitivity analysis | ko |
| dc.subject | 敏感度分析 | ko |
| dc.title | 人工神經網을 利用한 高速道路 自動 有故感知 模型의 開發 | ko |
| dc.title.alternative | Development of freeway automatic incident detection model using artificial neural networks | ko |
| dc.type | Thesis | - |
| dc.contributor.department | 土木工學科 | - |
| dc.description.degree | Doctor | ko |
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