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. 2013 Jan 7;8(1):e53225. doi: 10.1371/journal.pone.0053225

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© 2013 Nagarajan and Jonkman

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The prediction error as a function of the number of units and optimal decay parameter = 0.05 for the FFNN in the presence (S = T) and absence (S = F) of the skip-layer is shown in (a). The prediction error for the FD regression model obtained using the LOO approach is also shown for comparison in (a). The residuals as a function of the predicted values obtained using the LOO approach in the log-scale for the FD model and FFNN are shown in (b) and (d) respectively. The corresponding scatter plots are shown in (c) and (e) respectively.

Inline graphic — The prediction error as a function of the number of units and optimal decay parameter = 0.05 for the FFNN in the presence (S = T) and absence (S = F) of the skip-layer is shown in (a). The prediction error for the FD regression model obtained using the LOO approach is also shown for comparison in (a). The residuals as a function of the predicted values obtained using the LOO approach in the log-scale for the FD model and FFNN are shown in (b) and (d) respectively. The corresponding scatter plots are shown in (c) and (e) respectively.