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A Fast Grid Search Method in Support Vector Regression Forecasting Time Series
2 references·3 citing·18 second hop
A Fast Grid Search Method in Support Vector Regression Forecasting Time Series (2006)A Fast Grid Search Method in Support Vect…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA (2022)Analysis of financial pressur…A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting (2015)A hybrid grid-GA-based LSSVR …A model updating strategy for predicting time series with seasonal patterns (2009)A model updating strategy for…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning (2018)An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting (2019)A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities (2021)Forecasting with artificial neural networks: (1998)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Time Series Analysis, Forecasting and Control. (1971)The M3-Competition: results, conclusions and implications (2000)Measuring financial stress in a developed country: An application to Canada (2006)‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables (2012)Stock price prediction based on deep neural networks (2019)A hybrid coal prediction model based on grey Markov optimized by GWO – A case study of Hebei province in China (2023)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited

Cited by

  • 2015A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting56 cited
  • 2009A model updating strategy for predicting time series with seasonal patterns49 cited
  • 2022Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA42 cited

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