THRESHOLD TRIGGERED BACK PROPAGATION OF AN ARTIFICIAL NEURAL NETWORK

Backpropagation of an artificial neural network can be triggered or based on input data. The input data are received into the artificial neural network, and the input data are forward propagated through the artificial neural network, which generates output values at classifier layer perceptrons of the network. Classifier layer perceptrons that have the largest output values after the input data have been forward propagated through the artificial neural network are identified. The output difference between the classifier layer perceptrons that have the largest output values is determined. It is then determined whether the output difference transgresses a threshold, and if the output difference does not transgress a threshold, the artificial neural network is backpropagated.