Exchange Rate Prediction using ANN and Deep Learning Methodologies: A Systematic Review

Abstract

Advance study about exchange rate prediction is reviewed in this paper. Different proposed new methods forforecast exchange rate prediction, from 2000 to 2019 are taken into consideration. In the protected period within the examine, the effects acquired observed some new proposed models like Artificial Neural Network (ANN), Functional Link Artificial Neural Network (FLANN), Hidden Markov Model (HMM), Support Vector Regression (SVR), Auto Regressive (AR) models are displayed in this paper. But, some of the proposed new neural networkmodelforforecastingthatconsideredtheoreticalsupport and a systematic procedure in the construction of model. This leadstoconveyingofnewmodelsofdeepneuralnetwork.