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《Computers and Applied Chemistry》 2008-07
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Process control using BP neural networks for incineration of municipal solid waste

Tao Huaizhi~1 Sun Wei~1 Zhao Jinsong~1 Chen Xiaochun~1 Yang Yixin~2 (1.Beijing University of Chemical Engineering,Beijing,100029,China; 2.Beijing Unisplendour Taihetong EnviroTech,Ltd,Beijing,101100,China)  
Incineration of municipal solid waste(MSW)by manpower need high qualified workers.And the automation of this method is low.Matlab was used to establish a control of incinerating municipal solid waste model,which was based on a back propagation (BP)neural network.The model was about solving two classical faults of municipal solid waste incinerating.Neural network ensemble was used to improve generalized ability of the artificial neural network during the establishment of the model.At the end of the estab- lishment of the model,49 group real-time data were chosen for testing as test samples.The error rates of test result are 7.612% and 6.429%.The test result shows neural network ensemble can improve the accuracy of the model.The model was useful in municipal solid waste incinerating process controlled and improved the automation of facility.
【Fund】: 国家863项目子课题(2006AA04Z176).
【CateGory Index】: X705
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