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- W2391060677 abstract "11When using the neural network to solve heat transfer coefficient of the wall,confirming the proper input arguments for the training sample is the key step to obtain accurate heat transfer coefficient of the wall.The effect of some parameters such as heat power,environmental temperature difference of both sides,temperature difference in the surface of both sides,heat-flow density in the surface of both sides and total thickness of the material on variables which can be measured on the boundary are analyzed.And they are confirmed to be the key input parameters to determine heat transfer coefficient of the wall which are taken as input arguments for sample to be trained and tested,and satisfactory result is obtained." @default.
- W2391060677 created "2016-06-24" @default.
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- W2391060677 date "2006-01-01" @default.
- W2391060677 modified "2023-09-25" @default.
- W2391060677 title "Analysis of key input arguments of wall heat transfer coefficient by neural network" @default.
- W2391060677 hasPublicationYear "2006" @default.
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