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Input Parameters Comparison on NARX Neural Network to Increase the Accuracy of Stock Prediction
Author(s) -
Ignatius Wiseto Prasetyo Agung
Publication year - 2022
Publication title -
journal of informatics and telecommunication engineering
Language(s) - English
Resource type - Journals
eISSN - 2549-6255
pISSN - 2549-6247
DOI - 10.31289/jite.v6i1.7158
Subject(s) - artificial neural network , nonlinear autoregressive exogenous model , computer science , econometrics , stock market index , index (typography) , stock (firearms) , nonlinear system , profit (economics) , stock price , technical analysis , economics , artificial intelligence , financial economics , stock market , engineering , series (stratigraphy) , mechanical engineering , paleontology , physics , horse , quantum mechanics , world wide web , biology , microeconomics

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