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Flexible neural trees ensemble for stock index modeling
9 references·9 citing·47 second hop
Flexible neural trees ensemble for stock index modeling (2006)Flexible neural trees ensemble for stock …Stock market trading rule discovery using technical charting heuristics (2002)Stock market trading rule dis…Modified support vector machines in financial time series forecasting (2002)Modified support vector machi…Mining stock price using fuzzy rough set system (2002)Mining stock price using fuzz…Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support (2002)Forecasting the NYSE composit…Hybrid Intelligent Systems for Stock Market Analysis (2001)Hybrid Intelligent Systems fo…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Improving returns on stock investment through neural network selection (1999)Improving returns on stock in…Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index (1998)Graded forecasting using an a…Forecasting S&P 500 stock index futures with a hybrid AI system (1998)Forecasting S&P 500 stock ind…Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey (2022)Scientometric review and anal…Decision Fusion for Stock Market Prediction: A Systematic Review (2022)Decision Fusion for Stock Mar…Predicting Stock Price Using Two-Stage Machine Learning Techniques (2020)Predicting Stock Price Using …An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market (2019)An integrated framework of ge…Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data (2018)Token-Based Adaptive Time-Ser…Bayesian regularisation neural network based on artificial intelligence optimisation (2016)Bayesian regularisation neura…Layered Ensemble Architecture for Time Series Forecasting (2015)Layered Ensemble Architecture…Stock Market Forecasting Using LASSO Linear Regression Model (2014)Stock Market Forecasting Usin…Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting (2013)Ensemble ANNs-PSO-GA Approach…A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Bond rating: A non-conservative application of neural networks (1988)A neural network model for bankruptcy prediction (1990)Neural Networks: A New 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models for time series forecasting (2011)Stock Price Prediction using Neural Network with Hybridized Market Indicators (2012)A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)Stock market value prediction using neural networks (2010)A Bayesian regularized artificial neural network for stock market forecasting (2013)Stock market forecasting by using a hybrid model of exponential fuzzy time series (2015)Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models (2020)An explainable deep learning approach for stock market trend prediction (2024)A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Financial time 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this work references cited by second hop

References

  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2002Modified support vector machines in financial time series forecasting372 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 1998Forecasting S&P 500 stock index futures with a hybrid AI system222 cited
  • 2001Hybrid Intelligent Systems for Stock Market Analysis176 cited
  • 2002Mining stock price using fuzzy rough set system172 cited
  • 1999Improving returns on stock investment through neural network selection143 cited
  • 2002Stock market trading rule discovery using technical charting heuristics131 cited
  • 1998Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index127 cited

Cited by

  • 2014Stock Market Forecasting Using LASSO Linear Regression Model107 cited
  • 2018Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data87 cited
  • 2022Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey81 cited
  • 2019An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market

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64 cited
  • 2016Bayesian regularisation neural network based on artificial intelligence optimisation62 cited
  • 2013Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting59 cited
  • 2020Predicting Stock Price Using Two-Stage Machine Learning Techniques53 cited
  • 2022Decision Fusion for Stock Market Prediction: A Systematic Review43 cited
  • 2015Layered Ensemble Architecture for Time Series Forecasting39 cited