To stop training, check the appropriate box and specify a number that corresponds to the stop training criteria you selected for the test set and/or the training set. If more than one is selected, the network will stop training as soon as any one of the criteria is reached:
Training Set Criteria - Computed at the end of each epoch
Average error below a predefined level.
Epochs since min. average error exceed a specified number.
Largest error below a predefined level.
Learning epochs exceed a predefined number.
Test Set Criteria - Computed at the end of the Calibration interval # of events
Average error below a predefined level.
Number of events since the minimum average error exceed a specified number.
Largest error below a predefined level.
Refer to Backpropagation - Calibration for more information on how these should be set.
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