比較進化演算與類神經網路應用於預測德基水庫入流量

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Title:	比較進化演算與類神經網路應用於預測德基水庫入流量
Authors:	陳莉 Chen, Li
Contributors:	土木工程學系 Civil Engineering
Keywords:	類神經網路;進化演算法;語法式進化;遺傳演算法 Artificial neural network;Evolutionary algorithms;Grammatical evolution;Genetic algorithms.
Date:	2007
Issue Date:	2014-06-26 20:44:15 (UTC+8)
Abstract:	本研究利用水庫之旬入流量建立預測模式，對於改善水庫即時操作有莫大幫助。其中嘗試以類神經網路（ Artificial neural network ， ANN ）中的分析調整綜合網路（Analysis-Adjustment-Synthesis Networks，AASN），以及進化演算法（Evolutionary algorithms， EAs）中之語法式進化（Grammatical evolution，GE）結合遺傳演算法（Genetic algorithms，GAs）簡稱GEGA 為研究方法，分 The ten-day inflow forecast model of Der-Ji Reservoir was established in the study. It can significantly improve the real-time operation of this reservoir. We attempted to use the analysis adjustment synthesis networks (AASN) and the grammatical evolution
Appears in Collections:	[Department of Civil Engineering] Seminar Papers

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