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Title
Using A Trainable Neural Network Ensemble for Trend Prediction of Tehran Stock Exchange
Author
Hossein Nikoo, Mahdi Azarpeikan, Mohammad Reza Yousefi, Reza Ebrahimpour, Abolfazl Shahrabadi
Vol. 7 No. 12 pp. 287-293
Keywords
Trainable neural network ensemble, Stock price trend prediction, Tehran Stock Exchange, Iran
Stock Forecasting Using Prophet vs. LSTM Model Applying Time-Series Prediction
Mohammed Ali Alshara
Vol. 22 No. 2 pp. 185-192
Predicting; Modelling; Analysis; Machine Learning; Time-series; Stock price; data analysis, Long Short-Term Memory (LSTM), forecasting.
Long Short-Term Memory Model for Predicting Stock Prices in Tanzania
Samuel Joseph, Neema Mduma, and Devotha Nyambo
Vol. 22 No. 11 pp. 597-601
Stock price prediction, deep learning, LSTM, Tanzania
An Approach for Stock Price Forecast using Long Short Term Memory
K.A.Surya Rajeswar, Pon Ramalingam, Sudalaimuthu.T
Vol. 23 No. 4 pp. 166-171
Stock Price, Long short time memory, Cross entropy, Accuracy