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( Narendra Kumar Valaboju ),( Ananth Narayan Tripurari ) 한국문화관광학회 2018 문화관광연구 Vol.20 No.2
This paper is a survey on the applications of GAME THEORY TO NEURAL NETWORKS IN PREDICTING STOCKPRICE OF COMPANIES IN HOTEL SECTOR. In this article various domains of GAME THEORY APPLICATION TO NEURAL NETWORKS are discussed. The stock market is a complex, non-stationary, chaotic and non-linear dynamical system. Prediction is the process of estimation in unknown future situations. Predicting stock performance is a very large and profitable area of study. The present study is supported and illustrated by practical application of results. This paper argues that recent advances in game theory concerned with higher order beliefs and heterogeneous prior beliefs.