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dc.contributor.author劉怡君zh_TW
dc.contributor.author王維志zh_TW
dc.contributor.authorLiu,I-Chunen_US
dc.contributor.authorWang,Wei-Chihen_US
dc.date.accessioned2018-01-24T07:35:14Z-
dc.date.available2018-01-24T07:35:14Z-
dc.date.issued2016en_US
dc.identifier.urihttp://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070261207en_US
dc.identifier.urihttp://hdl.handle.net/11536/138420-
dc.language.isozh_TWen_US
dc.subject損鄰zh_TW
dc.subject倒傳遞類神經網路zh_TW
dc.subject損鄰費用zh_TW
dc.subjectAdjacent damageen_US
dc.subjectBack-Propagation neural networken_US
dc.subjectcosts from adjacent damagesen_US
dc.title運用倒傳遞類神經網路預估建築損鄰之費用-以新竹縣為例zh_TW
dc.titleUsing Back-Propagation Neural Networks to Predict Costs Resulting from Adjacent Damages of Construction - A Case Study in the Hsinchu Countyen_US
dc.typeThesisen_US
dc.contributor.department工學院工程技術與管理學程zh_TW
Appears in Collections:Thesis