There are a lot of methods in city water consumption short-term forecasting both inside and outside the country. But among these methods there exist many advantages and shortcomings in model establishing, solving and ...There are a lot of methods in city water consumption short-term forecasting both inside and outside the country. But among these methods there exist many advantages and shortcomings in model establishing, solving and predicting accuracy, speed, applicability. This article draws lessons from other realm mature methods after many years′ study. It′s systematically studied and compared to predict the water consumption in accuracy, speed, effect and applicability among the time series triangle function method, artificial neural network method, gray system theories method, wavelet analytical method.展开更多
Rich people in China are mainly gathered in the major and subordinate cities(the first,second & third tier cities).However,more than70% of the rich are outside of the major cities,with only 30% working and living ...Rich people in China are mainly gathered in the major and subordinate cities(the first,second & third tier cities).However,more than70% of the rich are outside of the major cities,with only 30% working and living in such展开更多
文摘There are a lot of methods in city water consumption short-term forecasting both inside and outside the country. But among these methods there exist many advantages and shortcomings in model establishing, solving and predicting accuracy, speed, applicability. This article draws lessons from other realm mature methods after many years′ study. It′s systematically studied and compared to predict the water consumption in accuracy, speed, effect and applicability among the time series triangle function method, artificial neural network method, gray system theories method, wavelet analytical method.
文摘Rich people in China are mainly gathered in the major and subordinate cities(the first,second & third tier cities).However,more than70% of the rich are outside of the major cities,with only 30% working and living in such
