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題 名 | 遺傳程式應用於水文資料延伸之研究=A Study of Applying Genetic Programming to Hydrological Data Extension |
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作 者 | Chen,Li; | 書刊名 | 農業工程學報 |
卷 期 | 48:3 2002.09[民91.09] |
頁 次 | 頁79-84 |
分類號 | 443 |
關鍵詞 | 遺傳程式; 水文資料延伸; Genetic programming; Genetic algorithms; System identification; Regression method; Exemplar-based learning model; Hydrological data analysis; |
語 文 | 英文(English) |
英文摘要 | The main purpose of this paper is to present the genetic programming (GP) and apply it to extend the flow records (y) according to the nearby stream-flow station (x). Based on GP, the relationships between x and y can be expressed as parse trees. A fittest function type will be obtained automatically from this method. The most advantage of GP is that provides system identification in a transparent and structured way. To explore the theoretical capability of the model, a simple mathematical function is identified by GP. The model is then applied to extend the annual stream flow records according to the nearby stream flow station. The results show that the model has better performance than both of the traditional linear regression method and exemplar-based learning model. Apparently, GP demonstrates the power and efficiency for the hydrological data analysis. |
本系統中英文摘要資訊取自各篇刊載內容。