Main Article Content
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, s uch as pattern recognition o r data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well. This paper gives overview of Artificial Ne ural Network, working & training of ANN. It also explain the application and advantages of ANN.
How to Cite
, M. S. B. M. M. P. W. “Research Paper on Basic of Artificial Neural Network”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 2, no. 1, Jan. 2014, pp. 96-100, doi:10.17762/ijritcc.v2i1.2920.