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A Modified Error Function for the Backpropagation Algorithm
Neurocomputing, 2004Abstract We have noted that the local minima problem in the backpropagation algorithm is usually caused by update disharmony between weights connected to the hidden layer and the output layer. To solve this problem, we propose a modified error function.
XuGang Wang +3 more
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Mathematical Methods in the Applied Sciences, 2021
This paper provides a new proof of the existence and uniqueness of the solution for a nonlinear boundary value problem which describes the study of two‐phase Stefan problems on the semi‐infinite line [0, ∞). This result considerably extends the analysis of a recent work.
Abdelaziz Mennouni +2 more
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This paper provides a new proof of the existence and uniqueness of the solution for a nonlinear boundary value problem which describes the study of two‐phase Stefan problems on the semi‐infinite line [0, ∞). This result considerably extends the analysis of a recent work.
Abdelaziz Mennouni +2 more
exaly +2 more sources
Proceedings. IEEE International Symposium on Information Theory, 1993
This paper proposes a modified transfer function analysis that yields the individual bit error probability for any specified input bit position of an (n, k, m) convolutional encoder. The method is useful for analyzing the unequal error protection (UEP) capabilities of codes.
D J Costello
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This paper proposes a modified transfer function analysis that yields the individual bit error probability for any specified input bit position of an (n, k, m) convolutional encoder. The method is useful for analyzing the unequal error protection (UEP) capabilities of codes.
D J Costello
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Error Bounds for Uniform Asymptotic Expansions—Modified Bessel Function of Purely Imaginary Order
Chinese Annals of Mathematics Series B, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roderick Wong
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