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台北都會區生活用水量之模式建構與模擬--類神經網路模式之應用--

Modeling and Simulating on Residential Water Use in Taipei Metropolitan Area: An Application of the Artificial Neural Network Model

摘要


近年來,台北都會區由於人口逐漸密集與經濟活動不斷成長,使該都會區生活用水與日俱增。基於都會區生活與發展的持續性,能正確預估都會區生活用水量,是未來有效調派該項用水的關鍵。 本文采用類神經網路系統(artificial neural network system)建構台北都會區生活用水量之相關模式,并進一步模擬預測。實證結果指出所建構之類神經網路模式能顯現有效的模擬效果(simulation effect),相關資訊亦可供政策當局改善都會區生活用水效率之參考。

關鍵字

類神經網路 模擬 生活用水

並列摘要


Recently, the growth of population and the frequency of commercial activities have cause residential water use to increase rapidly in Taipei Metropolitan Area. Since people life, social and economic development which related water utilization in this area have to be sustained. To forecast the quantity of the residential water accurately is important to improve water allocation in this area. This paper attempts to build a model which can simulate the situation of residential water use in this area by applying the artificial neural network methodology. The empirical results indicate that the model we have constructed here has produced good simulation effect and given some suggestions for promoting water utilization in this area.

被引用紀錄


姚榮昇(2014)。每月平均日計費計量水量預測模型之建立〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2014.00715
時佳麟(2011)。結合用水量時空分佈之計量小區管網模擬〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2011.00326
黃宣瑋(2017)。自來水合理價格及其需求因素之研究-以台灣自來水股份有限公司為例〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201704308
黃 聖 茹(2005)。台灣毛豬批發價格組合預測之研究〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2005.00537
廖瓊霞(2017)。各縣市自來水生活用水量影響因素之研究〔碩士論文,朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1108201714033803

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