论文信息 - The Application of BP Neural Network on Research of DO Influence on Fluidized Bed Step-Feed Process

The Application of BP Neural Network on Research of DO Influence on Fluidized Bed Step-Feed Process

Based on large amounts of datas, BP neural network model was applied to studying the DO influence on fluidized bed step- feed process. The output values and the actual values reached a high fitting degree. The fitting degree of NH4+-N was 0.979 and TN of 0.965. So BP neural network model could be used as a new type analysis method in water treatment. It could predict operating results under other conditions without experimental measure.

Jun Li | Bing Wang | Ji Ku Zhang | Ya Feng Li

[1] Andrea G. Capodaglio,et al. Sludge bulking analysis and forecasting: Application of system identification and artificial neural computing technologies , 1991 .

[2] Ming Rao,et al. An on-line wastewater quality predication system based on a time-delay neural network , 1998 .

[3] Farouq S Mjalli,et al. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. , 2007, Journal of environmental management.

[4] Aysegul Aksoy,et al. Modeling of the activated sludge process by using artificial neural networks with automated architecture screening , 2008, Comput. Chem. Eng..

[5] Joo-Hwa Tay,et al. A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems , 2000 .

[6] C. Y. Lin,et al. Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent , 2007, Comput. Chem. Eng..

[7] A. E. Greenberg,et al. Standard Methods for the Examination of Water and Wastewater seventh edition , 2013 .