A value that indicates the "quality" of a neural net's learning process. Used by neural nets with supervised learning, by comparing the current output values with the desired output values of the net. The smaller the net's error is, the better the net had been trained. Usually the error is always a value greater than zero.
Refers to: Neural net, Output