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Training error vs. test error.
The training error was 0.3%.
C is the usual regularization parameter that trades off margin size and training error.
The back-propagation network training error, prediction error and training time were minimized using a second fractional factorial design.
Structural risk consists of empirical risk (training error) and Vapnik Chemonenkis (VC) dimension (complexity).
This method takes into account the training error to identify the optimal parameters set using evolutionary optimization schemes.
The functional response of the power density of the fuel cell with respect to input conditions is selected based on the minimum training error.
A main puzzle of deep networks revolves around the absence of overfitting despite overparametrization and despite the large capacity demonstrated by zero training error on randomly labeled data.
The training error was 0.5%%.
(a) Training error with the epochs.
The smallest training error was achieved with radial basis networks.
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