The Application of EEMD and Neural Network Based on Polak-Ribiére Conjugate Gradient Algorithm for Crude Oil Prices Forecasting-Reference-Cited by-同舟云学术

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The Application of EEMD and Neural Network Based on Polak-Ribiére Conjugate Gradient Algorithm for Crude Oil Prices Forecasting

Published:2016 Issue: Volume:58 Page:03013
ISSN:2261-236X
Container-title:MATEC Web of Conferences
language:
Short-container-title:MATEC Web of Conferences

Author:

Latif M.,Herawati Sri

Publisher

EDP Sciences

Subject

General Medicine

Link

http://www.matec-conferences.org/10.1051/matecconf/20165803013/pdf

Reference16 articles.

1. On the predictive accuracy of crude oil futures prices

2. A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting

3. Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market

4. The Forecasting Efficacy of Risk-Neutral Moments for Crude Oil Volatility

5. Oil price uncertainty in Canada

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1. Modeling And Enhancing Crude Oil Price Forecasting Using Enhanced Set Algebra-Based Heuristic Algorithm-Based Extreme Learning Machine;2024-02-02

2. Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis;Physica A: Statistical Mechanics and its Applications;2023-09

3. A Review on ANN Based Model for Solar Radiation and Wind Speed Prediction with Real-Time Data;Archives of Computational Methods in Engineering;2022-01-06

4. Implementing Method of Empirical Mode Decomposition based on Artificial Neural Networks and Genetic Algorithms for Crude Oil Price Forecasting;Journal of Physics: Conference Series;2020-07-01

5. A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm;Applied Soft Computing;2019-09

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