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Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches
14 references·0 citing·37 second hop
Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches (2013)Forecasting on Crude Palm Oil Prices Usin…Evolutive design of ARMA and ANN models for time series forecasting (2012)Evolutive design of ARMA and …An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)An Adaptive Network-Based Fuz…A hybrid ANFIS model based on AR and volatility for TAIEX forecasting (2010)A hybrid ANFIS model based on…Improving artificial neural networks’ performance in seasonal time series forecasting (2008)Improving artificial neural n…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…Forecasting models for interval-valued time series (2008)Forecasting models for interv…Soft-computing techniques and ARMA model for time series prediction (2007)Soft-computing techniques and…FORECASTING TIME SERIES DATA USING HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL (2007)FORECASTING TIME SERIES DATA …Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation (2004)Inference and Forecasting for…Artificial neural networks for non-stationary time series (2004)Artificial neural networks fo…A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyTime Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Dividend yields and expected stock returns (1988)Business conditions and expected returns on stocks and bonds (1989)Common risk factors in the returns on stocks and bonds (1993)A new accuracy measure based on bounded relative error for time series forecasting (2017)Systematic analysis and review of stock market prediction techniques (2019)Stock market movement forecast: A Systematic review (2020)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting (2012)Machine Learning for Quantitative Finance Applications: A Survey (2019)Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India (2012)Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training (2013)Cluster-based hierarchical demand forecasting for perishable goods (2017)Forecasting with artificial neural networks: (1998)A comparative study of linear and nonlinear models for aggregate retail sales forecasting (2003)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)Neural network ensemble operators for time series forecasting (2014)Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China (2013)A survey on forecasting of time series data (2016)Time-series forecasting of seasonal items sales using machine learning – A comparative analysis (2022)Different Approaches to Forecast Interval Time Series: A Comparison in Finance (2010)A combination method for interval forecasting of agricultural commodity futures prices (2015)Interval decomposition ensemble approach for crude oil price forecasting (2018)Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models (2013)Financial Time Series Prediction Using Spiking Neural Networks (2014)Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
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References

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  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 2008Improving artificial neural networks’ performance in seasonal time series forecasting281 cited
  • 2007Soft-computing techniques and ARMA model for time series prediction228 cited
  • 2008Forecasting models for interval-valued time series165 cited
  • 2004Artificial neural networks for non-stationary time series94 cited
  • 2010A hybrid ANFIS model based on AR and volatility for TAIEX forecasting93 cited
  • 2004Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation84 cited
  • 2012Evolutive design of ARMA and ANN models for time series forecasting81 cited
  • 2007FORECASTING TIME SERIES DATA USING HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL33 cited

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