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Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction
16 references·0 citing·44 second hop
Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction (2018)Evolutionary fuzzification of RIPPER for …An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case (2017)An efficient genetic algorith…A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting (2016)A hybrid ANFIS model based on…A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)A bat-neural network multi-ag…Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series (2014)Prediction of stock index fut…A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A hybrid fuzzy time series mo…Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction (2012)Hybridization of evolutionary…Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integration of genetic fuzzy …Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis (2009)Adapted Neuro-Fuzzy Inference…A combination of hidden Markov model and fuzzy model for stock market forecasting (2009)A combination of hidden Marko…A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)A new hybrid artificial neura…Another look at measures of forecast accuracy (2006)Another look at measures of f…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…A fusion model of HMM, ANN and GA for stock market forecasting (2006)A fusion model of HMM, ANN an…Forecasting economic and financial time-series with non-linear models (2004)Forecasting economic and fina…Comparing Predictive Accuracy (2002)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyThe magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Time Series Analysis: Forecasting and Control (1977)The magical number seven, plus or minus two: Some limits on our capacity for processing information. 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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 1994Comparing Predictive Accuracy5,495 cited
  • 2002Comparing Predictive Accuracy1,745 cited
  • 2010Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting371 cited
  • 2006A fusion model of HMM, ANN and GA for stock market forecasting360 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2004Forecasting economic and financial time-series with non-linear models295 cited
  • 2014A hybrid fuzzy time series model based on granular computing for stock price forecasting228 cited
  • 2007A new hybrid artificial neural networks and fuzzy regression model for time series forecasting207 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction201 cited
  • 2016A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting190 cited
  • 2015A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price175 cited
  • 2017An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case169 cited
  • 2009A combination of hidden Markov model and fuzzy model for stock market forecasting

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115 cited
  • 2009Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis113 cited
  • 2014Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series90 cited
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