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An efficient CMAC neural network for stock index forecasting
16 references·2 citing·34 second hop
An efficient CMAC neural network for stock index forecasting (2011)An efficient CMAC neural network for stoc…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression (2008)A two-stage architecture for …A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filt…Judgmental forecasting: A review of progress over the last 25years (2006)Judgmental forecasting: A rev…25 years of time series forecasting (2006)25 years of time series forec…Neural networks in finance : gaining predictive edge in the market (2005)Neural networks in finance : …A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Time-Series Forecasting (2000)Time-Series ForecastingForecasting with artificial neural networks: (1998)Forecasting with artificial n…Introduction to financial forecasting (1996)Introduction to financial for…Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, …Stock Market Prediction Performance of Neural Networks: A Literature Review (2017)Stock Market Prediction Perfo…On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices (2013)On the development and perfor…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Time Series Analysis Forecasting and Control. 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224 cited
  • 2008A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression140 cited
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    • 2017Stock Market Prediction Performance of Neural Networks: A Literature Review37 cited
    • 2013On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices36 cited