Currently, most ANN program is running on the conventional computers. In these advanced system, real neuron behavior is only simulated by software program. But this kind of chip is not developed at this time. The fields of neural network approach are pattern recognition, system modeling and data compression. In this study, system modeling capability is important.
Neural network trains itself by using massive amount of the data.
It consists of an input layer, a hidden layer and an output layer. Each layer has several neurons and is interconnected by axon of neuron. In ANN, neuron is called as unit and axon means correlation weights between two units. For the LN, it is simplified that the axon interconnects with other layer or without same layer. A signal is received by a unit of the input layer relayed to units of the hidden layer through axons.