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Time Series Forecasting for Dynamic Environments: The DyFor Genetic Program Model

โœ Scribed by Wagner, N.; Michalewicz, Z.; Khouja, M.; McGregor, R.R.


Book ID
117914783
Publisher
IEEE
Year
2007
Tongue
English
Weight
686 KB
Volume
11
Category
Article
ISSN
1089-778X

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## Abstract Forecasting of hydrologic time series, with the quantification of uncertainty, is an important tool for adaptive water resources management. Nonstationarity, caused by climate forcing and other factors, such as change in physical properties of catchment (urbanization, vegetation change,