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- W2380598614 abstract "To meet the operational regulation demand of heating system,a study was conducted on the prediction of supply water temperature and water flux in a heating system.200 groups of operating parameters were selected as samples from a certain period of a practical heating system,processed with matlab7.0,and predicted and analyzed with the back propagation neural network and regression.The former determined a reasonable back propagation network structure,and was processed and trained with traingdm function.The latter fit a regression equation with high confidence level.Finally,predicted values of supply temperature and water flux were compared with the actual values while their errors were analyzed.The result showed that the two forecast values were reliable,but the back propagation neural network had a better result and smaller error." @default.
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- W2380598614 date "2011-01-01" @default.
- W2380598614 modified "2023-09-23" @default.
- W2380598614 title "Study on the reliability of heating regulation based on prediction using the BP neural network and regression" @default.
- W2380598614 hasPublicationYear "2011" @default.
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