Application of Artificial Neural Network with Various Algorithms Tools in Numerous Sectors – A Review

Abstract

This study reports collective information of the Artificial Neural Network-(ANN) model implemented to improve the management and provide suggestions to the government and corporates. The ANN tool is an awesome architect model that helps collect a high volume of information from independent such as civilians, input parameters in manufacturing, etc to dependent such as government, corporates, machinery, etc. The ANN model has various architect tools that help to regulate and monitor the demand for government and the public through the weighted link, like brain neurons. It’s an optimized computation study to predict less uncertainty than experimental values. This literature study reports diverse methods of algorithms available in ANN models and briefly disseminated the procedure specifically to collect a high volume of inputs transferred to hidden neurons and passed to output terminal neurons with accurate solutions to the enhancement of government decision making. Besides, the ANN is a perfect substitute tool for experimental and numerical analysis procedures to reduce high expenses for collecting data in high volume. This literature report briefly disseminates different methods of ANN tools implemented in various applications with significant conclusions, considering many techniques for collecting data and suggestions provided for future research work.