• Sripriya T P

The signals or data processing mathematical models which are on the basis of biological neurons are the artificial neural networks usually referred to as the neural networks. A neural network consists of the groups of inter connected neuron that provide actually exhilarating alternative for composite problems resolving & another applications that might have a significant part in present world’s computer sciences sector so that investigators of various disciplines design artificial neural networks that can solve pattern recognition, prediction, optimization problems. Artificial neural networks are central to attempting to model artificial nervous system data processing capabilities which have an essential part in the field of cognitive science. This paper focuses on the characteristics of the neural artificial networks analyzed through the analysis and assessment of the latest research works. The research and literature survey method is used as a basis for comparisons such as neuronal functionality, thinking skills, calculation style, processing elements, speed, connections, power, data storage, communication media selection, signal transduction and defect tolerance. A recent study found that artificial neural network acted like the forum for neurons in field of cognitive science.

Artificial Intelligence, Artificial Neural Network, Artificial Neuron, Feed-Forward Network, Personalization.

"The Brief Review on Artificial Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.452-458, February-2019, Available :http://www.jetir.org/papers/JETIREV06072.pdf

"The Brief Review on Artificial Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp452-458, February-2019, Available at : http://www.jetir.org/papers/JETIREV06072.pdf