ARTIFICIAL NEURAL NETWORK: A REVIEW

Jaswinder Kaur, Neha Gupta
2020 International Journal of Technical Research & Science  
In this paper an introduction of Artificial Neural Network is presented. Learning Algorithms like Supervised Algorithms, Reinforcement Algorithms and Unsupervised Algorithms are discussed. Also, optimization methods like Gradient Descent, Newton Method, Conjugate Gradient Method, Quasi Newton and Levenberg Marquardt are presented.
doi:10.30780/specialissue-icaccg2020/007 fatcat:nvc6v53pivax7lpqrfkhupu2ju