The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term may refer to either biological neural networks are made up of real biological neurons or artificial neural networks for solving artificial intelligence problems.
Unlike von Neumann model computations, artificial neural networks do not separate memory and processing and operate via the flow of signals through the net connections, somewhat akin to biological networks.
These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset.