Mean Squared Error
A statistical measure of the differences between the values of the outputs in the training set and the output values the network is predicting. This is the mean over all patterns in the file of the square of the actual value minus the predicted value, i.e., the mean of (actual  predicted)2. The errors are squared to penalize the larger errors and to cancel the effect of the positive and negative values of the differences.
