Long short-term memory description and its application in text processing

L Skovajsová - 2017 Communication and Information …, 2017 - ieeexplore.ieee.org
The paper describes the state-of-the-art of Long Short-Term Memory (LSTM) neural
networks with fixation to context utilization in text documents. Context in text documents is …

Comparative Analysis of Stock Price Prediction Using Deep Learning with Data Scaling Method

IN Switrayana, R Hammad, P Irfan… - JTIM: Jurnal …, 2025 - journal.sekawan-org.id
The dynamic and unpredictable nature of stock prices makes accurate forecasting an
important challenge in financial analysis. This study aims to compare the performance of …

PREDIKSI HARGA SAHAM PT BANK CENTRAL ASIA TBK DENGAN MENGGUNAKAN ALGORITMA AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)

RDT Wulandari, N Nurmalitasari… - Infotech: Journal of …, 2024 - jurnal.kampuswiduri.ac.id
Stock prediction is one of the important things in stock trading. It calculates the potential
worth of stocks or other financial assets that are traded on stock exchanges. The precision of …

APLIKASI PREDIKSI HARGA SAHAM PERUSAHAAN DENGAN MENGGUNAKAN METODE LONG SHORT TERM MEMORY (LSTM)

BR RAMADHAN, MAYUD WIDYADARA, S DANIEL - 2023 - repository.unpkediri.ac.id
Harga Saham merupakan sebagai penentu nilai unit kepemilikan dalam perusahaan
mencerminkan kepercayaan dan ekspektasi investor terhadap kinerja dan prospek …

IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY …

C Rahayu, D Abdullah, Z Yunizar - Bulletin of Engineering Science …, 2023 - bestijournal.org
This research aims to implement the Long Short Term Memory (LSTM) algorithm in
predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock …