Title :
Simulation of non-point source COD pollution load by BP neural network
Author :
Wang, Baoqing ; Ma, Qitao ; Sun, Yichao ; Liu, Honglei
Author_Institution :
Coll. of Environ. Sci. & Eng., Nankai Univ., Tianjin, China
Abstract :
By analysis of back propagation (BP) neutral network model structure and Tianjin Binhai new area non-point source COD pollution load (1997-2008), the paper established the BP neutral network of input layer neuron number 7, hidden layer neuron number 19, and output layer neuron number 1 to simulate COD pollution load. The result shows that mean error is 0.284% when the precision is 0.001 and hidden layer neuron number 19 for BP neural network. This BP neural network model has high accuracy. A simulation model of non-point source COD pollution load is formed automatically, so as to calculate the changing tendency of non-point COD pollution load.
Keywords :
backpropagation; environmental science computing; geophysics computing; hydrological techniques; neural nets; rivers; simulation; water pollution; AD 1997 to 2008; BP neural network model structure; Binhai New Area; China; Tianjin; back propagation neutral network; chemical oxygen demand; nonpoint source COD pollution load simulation; Analytical models; Artificial neural networks; Joining processes; Load modeling; Neurons; Water pollution; BP neural network; COD pollution load; Tianjin Binhai new area; non-point source;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964140
