global error Maximum difference between the solution the function computes and the exact solution.

As each variation is generated on the output of a neuron, an overall error of all the neuron outputs in relation to their desired values is measured and compared to this error prior to the perturbation.

Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached.