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A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting
13 references·1 citing·49 second hop
A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting (2014)A Hybrid Approach by Integrating Brain St…Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization (2013)Forecasting stock index price…A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting (2012)A hybrid approach by integrat…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…Forecasting stock indices with wavelet domain kernel partial least square regressions (2011)Forecasting stock indices wit…An efficient CMAC neural network for stock index forecasting (2011)An efficient CMAC neural netw…Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting (2010)Adaptive Time-Variant Models …Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods (2009)Predicting the Brazilian stoc…Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Evolving Least Squares Suppor…Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting (2007)Integrating GA-based time-sca…High-order fuzzy time-series based on multi-period adaptation model for forecasting stock markets (2007)High-order fuzzy time-series …Fuzzy dual-factor time-series for stock index forecasting (2007)Fuzzy dual-factor time-series…A Type 2 fuzzy time series model for stock index forecasting (2005)A Type 2 fuzzy time series mo…Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model (2015)Application of game theory on…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments based on fuzzy time series (1996)The adaptive fuzzy time series model with an application to Taiwan’s tourism demand (2011)OWA-based ANFIS model for TAIEX forecasting (2012)A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX (2013)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Application of support vector machines in financial time series forecasting (2001)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)A comparative study of series arima/mlp hybrid models for stock price forecasting (2018)Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques (2020)Fuzzy sets (1965)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Fuzzy sets (1996)Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (2014)Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance (2016)Improving stock price prediction using the long short-term memory model combined with online social networks (2021)Forecasting enrollments with fuzzy time series — part II (1994)A bivariate fuzzy time series model to forecast the TAIEX (2007)A neural network-based fuzzy time series model to improve forecasting (2009)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)Neural Network Models for Time Series Forecasts (1996)Forecasting stock market movement direction with support vector machine (2004)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Stock prediction using deep learning (2016)Systematic analysis and review of stock market prediction techniques (2019)Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 2011Stock index forecasting based on a hybrid model377 cited
  • 2005A Type 2 fuzzy time series model for stock index forecasting231 cited
  • 2008Evolving Least Squares Support Vector Machines for Stock Market Trend Mining218 cited
  • 2012A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting157 cited
  • 2009Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods146 cited
  • 2013Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization101 cited
  • 2010Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting86 cited
  • 2007High-order fuzzy time-series based on multi-period adaptation model for forecasting stock markets84 cited
  • 2007Fuzzy dual-factor time-series for stock index forecasting81 cited
  • 2007Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting71 cited
  • 2011An efficient CMAC neural network for stock index forecasting42 cited
  • 2011Forecasting stock indices with wavelet domain kernel partial least square regressions39 cited

Cited by

  • 2015Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model

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31 cited