A long-term prediction of domestic water demand using preprocessing in artificial neural network
作者： Sadegh Behboudian , Massoud Tabesh , Maliheh Falahnezhad , Farrokh Alavian Ghavanini
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摘要: Both planning and the design of water supply systems require accurate and reliable prediction of water demand. In this study, artificial neural network (ANN) was used to predict the long-term water demand to determine the relationship between dependent and independent parameters. Using the stationary chain to solve the interpolating characteristic of ANNs, the study presents a reliable approach for long-term forecasting of water demand. The purpose of this study is to provide a convenient and reliable method for long-term …
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