Artificial Neural Network Modelling Implication

Abstract

An Artificial Neural Network (ANN) is an information processing model inspired by the way biological nervous systems “the brain” processing information, a brain transmit a signal from one neuron to another and process information, similar to the neurons in brain an ANN is designed with a collection of connected units or nodes called artificial neuron, this can receive a signal and process it, then signals other artificial neurons connected in the network, the key element of this model is the new structure of the information processing system, which is composed of a large number of highly interconnected processing elements (artificial neurons) working in unison to solve specific problems, The original goal of the ANN approach was to solve problems in the same way a human brain would process information,  However, over time the attention moved to performing specific tasks and application such as pattern recognition or data classification through a learning process, This paper gives an overview of Artificial Neural Network, its operation design and also briefs the application and advantages of ANN.