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題名:應用類神經網路於颱風災損預測
書刊名:災害防救科技與管理學刊
作者:張哲敏陳佳正
作者(外文):Chang, Che-minChen, Chia-jeng
出版日期:2019
卷期:8:1
頁次:頁55-87
主題關鍵詞:巨災風險分析機器學習統計模式CatastropheRisk analysisMachine learningStatistical modeling
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:4
  • 點閱點閱:2
期刊論文
1.Bengio, Y.、Simard, P.、Frasconi, P.(1994)。Learning long-term dependencies with gradient descent is difficult。IEEE Transactions on Neural Networks,5(2),157-166。  new window
2.Hinton, Geoffery E.、Salakhutdinov, Ruslan R.(2006)。Reducing the dimensionality of data with neural networks。Science,313(5786),504-507。  new window
3.冀樹勇、鄭錦桐、林伯勳、沈哲緯、張州男(20080400)。淺談天然災害風險管理。土木水利,35(2),104-111。  延伸查詢new window
4.劉少軍、張京紅、何政偉、蔡大鑫、田光輝(2010)。基於GIS的颱風災害損失評估模型研究。災害學,25(2),64-67。  延伸查詢new window
5.Chang, F.-J.、Chiang, Y.-M.、Cheng, W.-G.(2013)。Self-organizing radial basis neural network for predicting typhoon-induced losses to rice。Paddy and Water Environment,11(1-4),369-380。  new window
6.Chen, C.-J.、Lee, T.-Y.、Chang, C.-M.、Lee, J.-Y.(2018)。Assessing typhoon damages to Taiwan in the recent decade: return period analysis and loss prediction。Natural Hazards,91(2),759-783。  new window
7.Chiang, Yen-Ming、Cheng, Wei-Guo、Chang, Fi-John(2012)。A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses。Natural Hazards,63(2),769-787。  new window
8.Huang, W. K.、Wang, J. J.(2015)。Typhoon damage assessment model and analysis in Taiwan。Natural Hazards,79(1),497-510。  new window
9.LeCun, Yann、Bengio, Yoshua、Hinton, Geoffrey(2015)。Deep learning。Nature,521,436-444。  new window
10.Li, C.、Bai, Y.、Zeng, B.(2016)。Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting。Water Resources Management,30(14),5145-5161。  new window
11.Rumelhart, David E.、Williams, Ronald J.、Hinton, Geoffrey E.(1986)。Learning Representations by Back-propagating Errors。Nature,323(6088),533-536。  new window
12.王俊明、李心平、李鎮鍵、臧運忠、謝正倫(20100200)。莫拉克颱風災害綜覽。中華防災學刊,2(1),27-34。new window  延伸查詢new window
會議論文
1.林詩偉、陳士杰、林欣志(2006)。模擬退火法應用於倒傳遞類神經網路之參數調整。資訊管理學術與實務研討會。  延伸查詢new window
2.Werbos, P. J.(1981)。Applications of advances in nonlinear sensitivity analysis。The 10th IFIP Conference。  new window
3.Hiroi, K.、Kawaguchi, N.(2016)。FloodEye: Real-time flash flood prediction system for urban complex water flow。The 2016 Conference for IEEE SENSORS。  new window
4.Hong, Seungkyun、Kim, Seongchan、Joh, Minsu、Song, Sa-kwang(2017)。GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery。The 7th International Workshop on Climate Informatics。  new window
5.Kim, Seongchan、Hong, Seungkyun、Joh, Minsu、Song, Sa-kwang(2017)。DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data。The 7th International Workshop on Climate Informatics。  new window
研究報告
1.Rosenblatt, Frank(1957)。The Perceptron: A Perceiving and Recognizing Automaton。Cornell Aeronautical Laboratory。  new window
2.楊惠萱、張芝苓、李香潔(2015)。縣市政府災害風險管理能力推動與評估 (計畫編號:NCDR-103T21)。國家災害防救科技中心。  延伸查詢new window
3.Hallegatte, Stéphane(2012)。A Cost Effective Solution to Reduce Disaster Losses in Developing Countries: Hydro-Meteorological Services, Early Warning, and Evacuation。World Bank。  new window
學位論文
1.陳志寬(2012)。以群策類神經網路建構集水區降雨:逕流分佈模式(碩士論文)。逢甲大學。  延伸查詢new window
2.溫振宇(2005)。結合地震與颱風因子之山崩模式分析(碩士論文)。國立成功大學。  延伸查詢new window
圖書
1.United Nations International Strategy for Disaster Reduction(2004)。Living with risk: a global review of disaster reduction initiatives。United Nations International Strategy for Disaster Reduction。  new window
單篇論文
1.Pascanu, R.,Mikolov, T.,Bengio, Y.(2012)。Understanding the exploding gradient problem(CoRR: abs/1211.5063)。  new window
2.Shi, Xingjian,Chen, Zhourong,Wang, Hao,Yeung, Dit-Yan,Wong, Wai-kin,Woo, Wang-chun(2015)。Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting(CoRR: abs/1506.04214)。  new window
其他
1.陳禹銘,蘇昭郎,黃詩倩(2009)。災害風險評估研究之探討,http://ncdr.nat.gov.tw/news/newsletter2/048/048.pdf。  延伸查詢new window
2.謝承憲,蘇昭郎,吳佳容(2010)。災害風險評估:災害風險管理與減災之工具,http://www.ncdr.nat.gov.tw/upload/epaper/059.pdf。  延伸查詢new window
 
 
 
 
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