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http://dx.doi.org/10.3741/JKWRA.2002.35.5.619

Precipitation forecasting by fuzzy Theory : I - Applications of Neuro-fuzzy System and Markov Chain  

Na, Chang-Jin (㈜건일 ENG 부설기술연구소)
Kim, Hung-Soo (선문대학교 토목공학과)
Kim, Joong-Hoon (고려대학교 토목환경공학과)
Kang, In-Joo (㈜대경 ENC)
Publication Information
Journal of Korea Water Resources Association / v.35, no.5, 2002 , pp. 619-629 More about this Journal
Abstract
Water in the atmosphere is circulated by reciprocal action of various factors in the climate system. Otherwise, any climate phenomenon could not occur of itself. Thus, we have tried to understand the climate change by analysis of the factors. In this study, the fuzzy theory which is useful to express inaccurate and approximate nature in the real world is used for forecasting precipitation influenced by the factors. Forecasting models used in this study are neuro-fuzzy system and a Markov chain and those are applied to precipitation forecasting of illinois. Various atmosphere circulation factors(like soil moisture and temperature) influencing the climate change are considered to forecast precipitation. As a forecasting result, it can be found that the considerations of the factors are helpful to increase the forecastibility of the models and the neuro-fuzzy system gives us relatively more accurate forecasts.
Keywords
climate system; neuro-fuzzy system; markov chain; forecating;
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Times Cited By KSCI : 2  (Citation Analysis)
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