STUDY ON A SYSTEM OF RUNOFF (DAILY) ANALYSIS USING NEURAL NETWORK
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- ABE Kiyoaki
- JAPAN SOCIETY OF CIVIL ENGINEERS
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- KIKUCHI Hideaki
- JAPAN SOCIETY OF CIVIL ENGINEERS
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- FURUKAWA Kouhei
- JAPAN SOCIETY OF CIVIL ENGINEERS
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- SHIOTSUKI Yoshiharu
- JAPAN SOCIETY OF CIVIL ENGINEERS
Bibliographic Information
- Other Title
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- ニューラルネットワークによる流出解析手法 (日流量) に関する研究
- ニューラル ネットワーク ニ ヨル リュウシュツ カイセキ シュホウ ヒ リュウリョウ ニ カンスル ケンキュウ
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Abstract
As the rain infiltrates the ground, the runoff of the rain flows into the river. It is difficult to know accurately the amount of rain that infiltrated the ground and the saturated amount of rain under ground as well as a period of conversion from infiltrated rain into a runoff. Thus it is very difficult to forecast stream flow by modeling a runoff process. The runoff analysis (e. q. tank model) is useful to forecast stream flow. In this study, we construct a system of runoff analysis by using neural network, which can be effective to solve non-linear and pattern classification problems, using the same data used in the tank model by KOZUE, and then compare to the results of the tank model. We evaluated the efficiency of the system using neural network on runoff analysis.
Journal
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- Doboku Gakkai Ronbunshu
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Doboku Gakkai Ronbunshu 2000 (656), 1-13, 2000-08-21
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390001205309448320
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- NII Article ID
- 10004544604
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- NII Book ID
- AN10014020
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- ISSN
- 18827187
- 02897806
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- NDL BIB ID
- 5466095
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed