Chaotic Crude Oil Time-Series Prediction Using Multi-Objective Artificial Vulture Optimization Algorithm-Based Bidirectional Gated Recurrent Unit-Reference-Cited by-同舟云学术

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Chaotic Crude Oil Time-Series Prediction Using Multi-Objective Artificial Vulture Optimization Algorithm-Based Bidirectional Gated Recurrent Unit

Published:2024-03-15 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Kala S Padma¹,S M Sharath²,K Raghavendra³,Gurumoorthy Sasikumar⁴,Husseen Ahmad⁵

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Dept of CSE,Chennai,Tamilnadu,India

2. JNNCE,Department of ECE,Navule, Shivamogga,India

3. Malla reddy Engineering College for Women (Autonomous),Department of Electronics and Communication Engineering,Hyderabad,Telangana,India

4. School of Engineering and Technology, Dhanalakshmi Srinivasan University,Computer Science and Engineering,Tiruchirappalli,Tamil Nadu,India

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516251.pdf?arnumber=10516251

Reference12 articles.

1. A novel multiscale forecasting model for crude oil price time series

2. A blending ensemble learning model for crude oil price forecasting

3. Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm. InMetaheuristics and Optimization in Computer and Electrical Engineering;Jamshidpour,Oct 8

4. Prediction of crude oil prices in COVID-19 outbreak using real data

5. Attentive Contextual Network for Image Captioning;Jeripothula

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