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A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
10 references·3 citing·45 second hop
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5 (2009)A hybrid forecast marketing timing model …Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…Forecasting the volatility of stock price index (2006)Forecasting the volatility of…Technical Analysis from A to Z (2005)Technical Analysis from A to ZApplication of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…Probabilistic Neural Networks in Bankruptcy Prediction (1999)Probabilistic Neural Networks…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…Genetic Algorithms and Investment Strategies (1994)Genetic Algorithms and Invest…Trading Equity Index Futures With a Neural Network (1992)Trading Equity Index Futures …Exploiting intra-day patterns for market shock prediction: A machine learning approach (2019)Exploiting intra-day patterns…Machine learning applications in supply chains: An emphasis on neural network applications (2017)Machine learning applications…A hybrid intelligent approach for modeling brand choice and constructing a market response simulator (2012)A hybrid intelligent 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)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting (2016)Artificial Intelligence Applied to Stock Market Trading: A Review (2021)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)An empirical comparison of bankruptcy models (1998)Forecasting stock indices: a comparison of classification and level estimation models (2000)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Forecasting enrollments with fuzzy time series — Part I (1993)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Forecasting enrollments based on fuzzy time series (1996)A neural network-based fuzzy time series model to improve forecasting (2009)Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)Forecasting S&P and gold futures prices: An application of neural networks (1993)Flexible neural trees ensemble for stock index modeling (2006)A new class of hybrid models for time series forecasting (2011)Stock Price Prediction using Neural Network with Hybridized Market Indicators (2012)Economic Forces and the Stock Market (1986)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting stock indices with back propagation neural network (2011)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Financial forecasting using genetic algorithms (1996)Generating trading rules on the stock markets with genetic programming (2003)Artificial neural networks with evolutionary instance selection for financial forecasting (2005)Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis (2003)Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015)Financial news predicts stock market volatility better than close price (2018)An Artificial Intelligence Approach (1994)Forecasting futures trading volume using neural networks (1995)Stock Market Prediction Using Artificial Neural Networks (2012)
this work references cited by second hop

References

  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 1999Probabilistic Neural Networks in Bankruptcy Prediction277 cited
  • 1994Genetic Algorithms and Investment Strategies260 cited
  • 2006Forecasting the volatility of stock price index236 cited
  • 2006Fuzzy time-series based on adaptive expectation model for TAIEX forecasting236 cited
  • 2005Technical Analysis from A to Z226 cited
  • 1998Forecasting S&P 500 stock index futures with a hybrid AI system222 cited
  • 1992Trading Equity Index Futures With a Neural Network157 cited
  • 1998Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index127 cited

Cited by

  • 2019Exploiting intra-day patterns for market shock prediction: A machine learning approach44 cited
  • 2017Machine learning applications in supply chains: An emphasis on neural network applications39 cited
  • 2012A hybrid intelligent approach for modeling brand choice and constructing a market response simulator13 cited

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