• Arvind Kumar Pandey

Artificial neural networks have become a popular and useful tool for solving a variety of problems, including categorization, clustering, pattern recognition, regression, dimension reduction, machine translation, structured prediction, anomaly detection, decision making, computer vision, visualization, computer vision, or others, because they allow modeling of nonlinear processes. Artificial neural networks may be used in a broad variety of applications thanks to their diverse capabilities. The primary goal of this essay is to learn more about Artificial Neural Networks and their applications in Natural Language Processing tasks. Artificial neural networks (ANN) are used for modelling non-linear problems and to predict the output values for given input parameters from their training values. An artificial neural network is a computational model of the human brain, where information processing is distributed over several interconnected processing elements, called neurons or nodes, structured in layers (input, output and hidden), which operate in parallel.

Artificial Neural Network, Artificial Intelligence, Logistic Regression, Network, Statistical Pattern.

"A Review on Artificial Neural Network and its Applications ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.391-396, January-2019, Available :http://www.jetir.org/papers/JETIRFT06075.pdf

"A Review on Artificial Neural Network and its Applications ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp391-396, January-2019, Available at : http://www.jetir.org/papers/JETIRFT06075.pdf