ARTIFICIAL NEURAL NETWORK: A REVIEW

Abstract

DOI Number: https://doi.org/10.30780/specialissue-ICACCG2020/007 pg.1 Paper Id: IJTRS-ICACCG2020-007 @2017, IJTRS All Right Reserved, www.ijtrs.com ARTIFICIAL NEURAL NETWORK: A REVIEW Jaswinder Kaur, Neha Gupta E-Mail Id: jasukaur@rediffmail.com, nehagupta@ansaluniversity.edu.in School of Engineering & Technology, Ansal University, Gurgaon, India AbstractIn 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.