efficiency assessment of local prediction method considering reconstruction of phase space and artificial neural network model for prediction of runoff (case study: pole-kohneh station, kermanshah)
نویسندگان
چکیده
in this research prediction methods of artificial neural network and chaos theory are employed to predict daily, weekly and monthly runoff. for this, runoff series data observed at pole-kohneh located in the qareh-soo river. the nonlinear predictions of chaos are found to be in close agreement with the observed runoff, with high correlation coefficient for daily and weekly time scales. predicted results of monthly time scale are not satisfying which indicating the chaos behavior in daily and weekly scales. the predicted results of ann are inferior to chaos for daily and weekly scales but superior to chaos for monthly scale.
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عنوان ژورنال:
مهندسی عمران فردوسیجلد ۲۸، شماره ۲، صفحات ۹۱-۰
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