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- W2082300103 abstract "In this paper the neural networks is utilized to estimate the “filter coefficients” needed to estimate heat flux in a particular system. In developing the training phase of the network inspiration is drawn from the Burgraff's exact solution of the IHCP as well as the filter method. Thus, the estimation phase neither requires any temperature field nor the sensitivity coefficients calculations. The neural network used in this work is a 2-layer perceptron. It is shown via classical triangular heat flux test cases that the method can yield very accurate, very efficient as well as stable estimations." @default.
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- W2082300103 date "2006-12-01" @default.
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- W2082300103 title "Training based, moving digital filter method for real time heat flux function estimation" @default.
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- W2082300103 doi "https://doi.org/10.1016/j.icheatmasstransfer.2006.08.013" @default.
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