Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Applied Energy

• Publication date

  2015-03-15

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1016/J.APENERGY.2014.12.045
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Neural Network Toolbox™ User's Guide

  2015cited by this paper
• Neural network optimized with evolutionary computing technique for solving the 2-dimensional Bratu problem

  2013cited by this paper
• Orthogonal Wavelet Support Vector Machine for Predicting Crude Oil Prices

  2013cited by this paper
• Computational intelligence techniques with application to crude oil price projection: a literature survey from 2001–2012

  2013cited by this paper
• Speculative trading and WTI crude oil futures price movement: An empirical analysis

  2013cited by this paper
• Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification

  2013cited by this paper
• Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence

  2013cited by this paper
• Fast neural network learning algorithms for medical applications

  2013cited by this paper
• Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling

  2012cited by this paper
• Crude oil price analysis and forecasting using wavelet decomposed ensemble model

  2012cited by this paper
• The dynamic influence of advanced stock market risk on international crude oil returns: an empirical analysis

  2011cited by this paper
• Forecasting the Crude Oil Spot Price by Wavelet Neural Networks Using OECD Petroleum Inventory Levels

  2011cited by this paper
• Historical Oil Shocks

  2011cited by this paper
• Genetic algorithm pruning of probabilistic neural networks in medical disease estimation

  2011cited by this paper
• Forecasting of natural gas consumption with neural network and neuro fuzzy system

  2010cited by this paper
• Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model

  2010cited by this paper
• Modelling the impact of oil prices on Vietnam’s stock prices

  2010cited by this paper
• Modeling the relationship between the oil price and global food prices

  2010cited by this paper
• Estimating VaR in crude oil market: A novel multi-scale non-linear ensemble approach incorporating wavelet analysis and neural network

  2009cited by this paper
• Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services

  2009cited by this paper
• Pile-up correction by Genetic Algorithm and Artificial Neural Network

  2009cited by this paper
• Modeling VaR in Crude Oil Market: A Multi Scale Nonlinear Ensemble Approach Incorporating Wavelet Analysis and ANN

  2007cited by this paper
• A Hybrid Artificial Intelligence Approach to Monthly Forecasting of Crude Oil Price Time Series

  2007cited by this paper
• A New Method for Crude Oil Price Forecasting Based on Support Vector Machines

  2006cited by this paper
• CRUDE OIL PRICE FORECASTING WITH TEI@I METHODOLOGY ∗

  2005cited by this paper
• Applied Energy

  2004cited by this paper
• Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

  2004cited by this paper
• A Novel Hybrid AI System Framework for Crude Oil Price Forecasting

  2004cited by this paper
• A three-term backpropagation algorithm

  2003cited by this paper
• A simulation study of artificial neural networks for nonlinear time-series forecasting

  2001cited by this paper
• Automatic design of neural network structures

  2001cited by this paper
• Comparative evaluation of genetic algorithm and backpropagation for training neural networks

  2000cited by this paper
• Crude oil prices between 1985 and 1994: how volatile in relation to other commodities?

  1998cited by this paper
• FORECASTING WITH ARTIFICIAL NEURAL NETWORKS: THE STATE OF THE ART

  1998cited by this paper
• Artificial neural networks

  1997cited by this paper
• Neural networks: a need for caution

  1997cited by this paper
• Neural Network for Pattern Recognition

  1995cited by this paper
• Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

  1992cited by this paper
• Punctuated Equilibria in Genetic Search

  1991cited by this paper
• Parallel Distributed Processing: Explorations in the Micro-structure of Cognition

  1989cited by this paper
• Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

  1986cited by this paper

• Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting

  2025cites this paper
• Multimodal Fusion with Generative AI-Enhanced Textual Features for Multi-Horizon Crude Oil Price Forecasting

  2025cites this paper
• Forecasting crude oil futures price uncertainty: an explainable deep learning framework integrating news sentiment

  2025cites this paper
• Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News

  2025cites this paper
• Data-driven optimization for container ship bunkering management under fuel price uncertainty

  2025cites this paper
• Advanced time series forecasting for commodities: Insights from the FEDformer model

  2025cites this paper
• A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost

  2025cites this paper
• On Performance of ABC, FPA, BBO and MVO Algorithms in ANFIS Training for Short-Term Forecasting of Crude Oil Price

  2025cites this paper
• Predicting crude oil returns and trading position: evidence from news sentiment

  2025cites this paper
• Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model

  2025influential citation
• An overview of crude oil price forecasting based on big data technology

  2025cites this paper
• Price forecasting through neural networks for crude oil, heating oil, and natural gas

  2024cites this paper
• Forecasting oil futures markets using machine learning and seasonal trend decomposition

  2024cites this paper
• Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting

  2024cites this paper
• Oil price, climate policy uncertainty, sustainable development, US dollar in an era of global conflict: Based on dynamic time-frequency spillover analysis

  2024cites this paper
• A novel integrated method for improving the forecasting accuracy of crude oil: ESMD-CFastICA-BiLSTM-Attention

  2024cites this paper
• A novel link prediction model for interval-valued crude oil prices based on complex network and multi-source information

  2024cites this paper
• Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy

  2024cites this paper
• An Ensembled Model for the Prediction of Oil Price

  2024cites this paper
• Energy finance research: What happens beneath the literature?

  2024cites this paper
• Predicting carbon and oil price returns using hybrid models based on machine and deep learning

  2024cites this paper
• A hybrid statistical and machine learning based forecasting framework for the energy sector

  2024cites this paper
• Prediction of West Texas Intermediate Crude-oil Price Using Ensemble Learning Techniques and Neural Networks

  2024cites this paper
• Effective Crude Oil Prediction Using CHS-EMD Decomposition and PS-RNN Model

  2023cites this paper
• Evolutionary Multi-Mode Slime Mould Optimization: A Hyper-Heuristic Algorithm Inspired by Slime Mould Foraging Behaviors

  2023cites this paper
• A novel interval-based hybrid framework for crude oil price forecasting and trading

  2023cites this paper
• Crude Palm Oil Price Prediction Using Machine Learning and Hybrid Ensemble Approach

  2023cites this paper
• Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study

  2023cites this paper
• Conditional autoencoder pricing model for energy commodities

  2023cites this paper
• A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network

  2023cites this paper
• Price, Complexity, and Mathematical Model

  2023cites this paper
• The impact of consumer confidence on oil prices

  2023cites this paper
• TBDQN: A novel two-branch deep Q-network for crude oil and natural gas futures trading

  2023cites this paper
• A New Approach to Technical Analysis of Oil Prices

  2023cites this paper
• Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China

  2023influential citation
• Crude oil price forecasting with machine learning and Google search data: An accuracy comparison of single-model versus multiple-model

  2023cites this paper
• A Novel Approach to Forecast Crude Oil Prices Using Machine Learning and Technical Indicators

  2023cites this paper
• Prediction method of blast load on underground structure surface based on neural network

  2023cites this paper
• Limited information limits accuracy: Whether ensemble empirical mode decomposition improves crude oil spot price prediction?

  2023cites this paper
• A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models

  2023cites this paper
• Forecasting crude oil price using LSTM neural networks

  2022cites this paper
• Forecasting oil prices: New approaches

  2022cites this paper
• COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

  2022cites this paper
• Foreign Trade Survey Data: Do They Help in Forecasting Exports and Imports?

  2022cites this paper
• Can the green bond market enter a new era under the fluctuation of oil price?

  2022cites this paper
• Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network

  2022cites this paper
• A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting

  2022cites this paper
• Oil Futures Volatility Predictability: New Evidence Based on Machine Learning Models

  2022cites this paper
• Forecasting Crude Oil Prices with a WT-FNN Model

  2022cites this paper
• Financial Derivative Price Forecasting and Trading for Multiple Time Horizons with Deep Long Short-Term Memory Networks

  2022cites this paper
• Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model

  2022cites this paper
• Crude Oil Spot Price Forecasting Using Ivanov‐Based LASSO Vector Autoregression

  2022cites this paper
• Correlation analysis of the crude oil, gold and steel prices for the purpose of agricultural development

  2022cites this paper
• The power of investors’ optimism and pessimism in oil market forecasting

  2022cites this paper
• A multi-scale model with feature recognition for the use of energy futures price forecasting

  2022cites this paper
• FORECASTING CRUDE OIL PRICES: A DEEP LEARNING MODEL

  2021cites this paper
• Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review

  2021cites this paper
• Fusing Nature with Computational Science for Optimal Signal Extraction

  2021cites this paper
• A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities

  2021influential citation
• E-Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm

  2021cites this paper
• Protocol to Assess the Impact of Crude Oil Price Fluctuations on Future Asphalt Prices

  2021cites this paper
• Predicting the Price of Crude Oil and its Fluctuations Using Computational Econometrics: Deep Learning, LSTM, and Convolutional Neural Networks

  2021cites this paper
• Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

  2021cites this paper
• Using Artificial Neural Networks to Support the Decision-Making Process of Buying Call Options Considering Risk Appetite

  2021cites this paper
• Smart System for Detecting Anomalies In Crude Oil Prices Using Long Short-Term Memory

  2021cites this paper
• Analysis of Chaos and Predicting the Price of Crude Oil in Ecuador Using Deep Learning Models

  2021cites this paper
• Crude oil prices and volatility prediction by a hybrid model based on kernel extreme learning machine.

  2021cites this paper
• A novel method for online real-time forecasting of crude oil price

  2021cites this paper
• Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory

  2021cites this paper
• Backpropagation Algorithm on Implementation of Signature Recognition

  2021cites this paper
• Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model

  2021cites this paper
• A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction

  2021cites this paper
• Effectiveness of Artificial Neural Networks in Hedging against WTI Crude Oil Price Risk

  2021cites this paper
• Neural Network Predictions Can Be Misleading Evidence From Predicting Crude Oil Futures Prices

  2021cites this paper
• A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy

  2021cites this paper
• Cascaded Adaptive Nonlinear Functional Link Networks for Modeling and Predicting Crude Oil Prices Time Series Data

  2020cites this paper
• Prediction prices of basrah light oil using artificial neural networks

  2020cites this paper
• Oil Price Forecasting Using a Time-Varying Approach

  2020cites this paper
• Daily natural gas price forecasting by a weighted hybrid data-driven model

  2020cites this paper
• The stability of U.S. economic policy: Does it really matter for oil price?

  2020cites this paper
• A novel hybrid model for forecasting crude oil price based on time series decomposition

  2020cites this paper
• The inevitable role of El Niño: a fresh insight into the oil market

  2020cites this paper
• Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

  2020cites this paper
• Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?

  2020cites this paper
• Equilibrium Oil Market Share under the COVID-19 Pandemic

  2020cites this paper
• Intelligent food processing: Journey from artificial neural network to deep learning

  2020cites this paper
• Deep belief network for gold price forecasting

  2020cites this paper
• A New Approach for Reconstruction of IMFs of Decomposition and Ensemble Model for Forecasting Crude Oil Prices

  2020cites this paper
• A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

  2020cites this paper
• Using Artificial Neural Networks to Find Buy Signals for WTI Crude Oil Call Options

  2020cites this paper
• Forecasting: theory and practice

  2020cites this paper
• The Prediction of Brent Crude Oil Trend Using LSTM and Facebook Prophet

  2020cites this paper
• Financial Temporal Patterns and Deep FinanicalNet For Crude-Oil Prices Forecasting

  2020cites this paper
• Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data

  2020cites this paper
• Forecasting oil prices: alternative approaches

  2020cites this paper
• LSTM ve Facebook Prophet Kullanarak Brent Ham Petrol Trendinin Tahmini

  2020cites this paper
• The VEC-NAR model for short-term forecasting of oil prices

  2019cites this paper
• CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms

  2019cites this paper
• Data Size Requirement for Forecasting Daily Crude Oil Price with Neural Networks

  2019cites this paper
• Strategic planning of a multi-product wood-biorefinery production system

  2019cites this paper