Performance Analysis of Narx Neural Network Back Propagation Algorithm by Various Training Functions with Tracking Signal Approach for Time Series Data


This study proposed a novel Nonlinear Auto Regressive eXogenous Neural Network (NARXNN) with Tracking Signal (TS) approach and seeks to investigate the various training functions to forecast the closing index of the stock market. A novel approach strives to adjust the number of hidden neurons of a NARXNN model with different training functions. It uses the… (More)


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