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PERFORMANCE ANALYSIS OF NARX NEURAL NETWORK BACK PROPAGATION ALGORITHM BY VARIOUS TRAINING FUNCTIONS WITH TRACKING SIGNAL APPROACH FOR TIME SERIES DATA
Author(s) -
Murugan Ashok Kumar
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.827506
Subject(s) - nonlinear autoregressive exogenous model , tracking (education) , computer science , series (stratigraphy) , artificial neural network , signal (programming language) , time series , training (meteorology) , algorithm , backpropagation , autoregressive model , artificial intelligence , pattern recognition (psychology) , machine learning , mathematics , statistics , psychology , paleontology , pedagogy , physics , meteorology , biology , programming language

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