Wavelet Regression Technique for Streamflow Prediction

摘要: Abstract In order to explain many secret events of natural phenomena, analyzing non-stationary series is generally an attractive issue for various research areas. The wavelet transform technique, which has been widely used last two decades, gives better results than former techniques the analysis earth science phenomena and feature detection real measurements. this study, a new technique offered streamflow modeling by using discrete transform. This depends on characteristic model was applied geographical locations with different climates. were compared energy variation error values models. offers good advantage through physical interpretation. regression models, because they are simple in practical applications. However, one can apply other