Urban Water Demand Forecasting by Combining Improved BP Neural Network and Grey Model with Optimum Weight
JIANG Shao jie and JIANG Chong guo
DOI:10.11835/j.issn.1674-4764.2008.02.048
Received ,Revised , Accepted , Available online July 01, 2015
Volume ,2008,Pages 113-115
- Abstract
Prediction of water demand is a complex system affected by a mass of data and influencing factors together. Nowadays, most of the forecasting methods are single model ones. They reflect only part of the system. In view of this situation, a combined model