A model neuron is referred to as a threshold unit and its function is illustrated in Figure 1a. It receives input from a number of other units or external sources, weighs each input and adds them up.

This is accomplished by taking a multi-layer network and using a training data set to configure the weights associated with each ‘neuron ... matrix of the ANN’s input-output gradients ...