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Evolutional RBFNs prediction systems generation in the applications of financial time series data
16 references·0 citing·47 second hop
Evolutional RBFNs prediction systems generation in the applications of financial time series data (2011)Evolutional RBFNs prediction systems gene…Using neural networks and data mining techniques for the financial distress prediction model (2008)Using neural networks and dat…Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Evolving and clustering fuzzy…Development and performance evaluation of FLANN based model for forecasting of stock markets (2008)Development and performance e…A neural network with a case based dynamic window for stock trading prediction (2008)A neural network with a case …Fuzzy dual-factor time-series for stock index forecasting (2007)Fuzzy dual-factor time-series…A type-2 fuzzy rule-based expert system model for stock price analysis (2007)A type-2 fuzzy rule-based exp…Financial distress prediction by a radial basis function network with logit analysis learning (2006)Financial distress prediction…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…A Type 2 fuzzy time series model for stock index forecasting (2005)A Type 2 fuzzy time series mo…AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN (2004)AN INVESTIGATION OF THE HYBRI…A forecasting approach for stock index future using grey theory and neural networks (2003)A forecasting approach for st…Stock price prediction using reinforcement learning (2002)Stock price prediction using …Temperature prediction using fuzzy time series (2000)Temperature prediction using …The profitability of technical trading rules in the Asian stock markets (1995)The profitability of technica…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Price Movements in Speculative Markets : Trends or Random Walks (1961)Price Movements in Speculativ…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process (2011)A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015)Estimating betas from nonsynchronous data (1977)Permanent and Temporary Components of Stock Prices (1988)Efficient Capital Markets: II (1991)Market Efficiency and the Returns to Technical Analysis (1998)Tests of technical trading strategies in the emerging equity markets of Latin America and Asia (1999)Generating trading rules on the stock markets with genetic programming (2003)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)On the Modeling of Financial Time Series (2014)A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices (2015)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments based on fuzzy time series (1996)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)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Generalized autoregressive conditional heteroskedasticity (1986)Common risk factors in the returns on stocks and bonds (1993)Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes (2011)The Econometrics of Financial Markets (2012)An adaptive stock index trading decision support system (2016)Fuzzy sets (1965)Fuzzy sets (1996)The application of neural networks to forecast fuzzy time series (2005)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)How effective are neural networks at forecasting and prediction? 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References

  • 1990Stock market prediction system with modular neural networks654 cited
  • 1961Price Movements in Speculative Markets : Trends or Random Walks645 cited
  • 2000Temperature prediction using fuzzy time series400 cited
  • 1995The profitability of technical trading rules in the Asian stock markets324 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • 2005A Type 2 fuzzy time series model for stock index forecasting231 cited
  • 2007A type-2 fuzzy rule-based expert system model for stock price analysis189 cited
  • 2008Development and performance evaluation of FLANN based model for forecasting of stock markets166 cited
  • 2008A neural network with a case based dynamic window for stock trading prediction160 cited
  • 2008Evolving and clustering fuzzy decision tree for financial time series data forecasting156 cited
  • 2002Stock price prediction using reinforcement learning119 cited
  • 2007Fuzzy dual-factor time-series for stock index forecasting81 cited
  • 2006Financial distress prediction by a radial basis function network with logit analysis learning73 cited
  • 2004

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AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN
44 cited
  • 2003A forecasting approach for stock index future using grey theory and neural networks40 cited
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