Application of Uncertain Model in Urban River Quality Simulation
TIAN Yi-mei,LIU Yang and WANG Bin-wei
DOI:10.11835/j.issn.1674-4764.2011.03.021
Received March 10, 2010,Revised , Accepted , Available online July 01, 2015
Volume ,2011,Pages 119-123
- Abstract
Owing to the fluctuation of water quality in urban river which polluted by drainage along river, one-dimension uncertain water quality model embeded neural network is established. Genetic algorithms and a modified fitness function are used to optimize parameters of the uncertain model. Examples illustrate that the uncertain model has higher prediction accuracy with the average accuracy over 80% than the certain model, and is more sensitive to the fluctuation of pollutants discharged into the river. The uncertain model has a significant advantage of prediction and could better adapt to the changing urban water environment, especially at points close to the pollution sources.