VN-INDEX TREND PREDICTION USING LONG-SHORT TERM MEMORY NEURAL NETWORKS
نویسندگان
چکیده
منابع مشابه
Prediction of Covid-19 Prevalence and Fatality Rates in Iran Using Long Short-Term Memory Neural Network
Introduction: The rapid spread of COVID-19 has become a critical threat to the world. So far, millions of people worldwide have been infected with the disease. The Covid-19 pandemic has had significant effects on various aspects of human life. Currently, prediction of the virus's spread is essential in order to be safe and make necessary arrangements. It can help control the rate of its outbrea...
متن کاملPrediction of Covid-19 Prevalence and Fatality Rates in Iran Using Long Short-Term Memory Neural Network
Introduction: The rapid spread of COVID-19 has become a critical threat to the world. So far, millions of people worldwide have been infected with the disease. The Covid-19 pandemic has had significant effects on various aspects of human life. Currently, prediction of the virus's spread is essential in order to be safe and make necessary arrangements. It can help control the rate of its outbrea...
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Neural network based approaches have recently shown stateof-art performance in the Dialog State Tracking Challenge (DSTC). In DSTC, a tracker is used to assign a label to the state at each moment in an input sequence of a dialog. Specifically, deep neural networks (DNNs) and simple recurrent neural networks (RNNs) have significantly improved the performance of the dialog state tracking. In this...
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ژورنال
عنوان ژورنال: Journal of Science and Technology: Issue on Information and Communications Technology
سال: 2019
ISSN: 1859-1531
DOI: 10.31130/ict-ud.2019.94