Long Term Short Memory with Particle Swarm Optimization for Crude Oil Price Prediction-Reference-Cited by-同舟云学术

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Long Term Short Memory with Particle Swarm Optimization for Crude Oil Price Prediction

Published:2023-11-23 Issue: Volume: Page:1-4
ISSN:
Container-title:2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
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Author:

Yusoff Marina¹,Sharif Muhammad Yusof²,Sallehud-Din Mohamad Taufik Mohd³

Affiliation:

1. Institute for Big Data Analytics and Artificial Intelligence (IBDAAI)

2. Universiti Teknologi MARA (UiTM),College of Computing, Informatics and Mathematics, Kompleks Al-Khawarizmi,Shah Alam,Selangor,Malaysia,40450

3. Kawasan Institusi Bangi,PETRONAS Research Sdn Bhd, Jln Ayer Hitam,Bandar Baru Bangi,Selangor,43000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391284/10391096/10391535.pdf?arnumber=10391535

Reference12 articles.

1. The Linkages between Crude Oil and Food Prices

2. A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

3. CRUDE OIL PRICE AND EXCHANGE RATE: AN ANALYSIS OF THE ASYMMETRIC EFFECT AND VOLATILITY USING THE NON LINEAR AUTOREGRESSIVE DISTRIBUTED LAG AND GENERAL AUTOREGRESSIVE CONDITIONAL HETEROCHEDASTICITY IN MEAN MODELS

4. Forecasting Crude Oil Price Using Event Extraction

5. Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Predictive Analytics Models in the Oil and Gas Industries;Sensors;2024-06-20

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