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Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices
16 references·1 citing·47 second hop
Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices (2015)Artificial chemical reaction optimization…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)An Adaptive Network-Based Fuz…Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques (2009)Efficient prediction of stock…Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Evolving Least Squares Suppor…A neural-network-based nonlinear metamodeling approach to financial time series forecasting (2008)A neural-network-based nonlin…Application of wrapper approach and composite classifier to the stock trend prediction (2007)Application of wrapper approa…Forecasting Economic Data with Neural Networks (2006)Forecasting Economic Data wit…Stock market forecasting using hidden Markov model: a new approach (2005)Stock market forecasting usin…Mining stock price using fuzzy rough set system (2002)Mining stock price using fuzz…Analyzing stock market tick data using piecewise nonlinear model (2002)Analyzing stock market tick d…A roadmap for future neural networks research in auditing and risk assessment (2002)A roadmap for future neural n…Hybrid Intelligent Systems for Stock Market Analysis (2001)Hybrid Intelligent Systems fo…A neural network approach to mutual fund net asset value forecasting (1996)A neural network approach to …Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…A Prediction Model of CNN-TLSTM for USD/CNY Exchange Rate Prediction (2021)A Prediction Model of CNN-TLS…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Financial time series forecasting using support vector machines (2003)Stock trend prediction based on fractal feature selection and support vector machine (2010)New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic (2017)Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market (2020)Dividend yields and expected stock returns (1988)Business conditions and expected returns on stocks and bonds (1989)Common risk factors in the returns on stocks and bonds (1993)A new accuracy measure based on bounded relative error for time series forecasting (2017)Systematic analysis and review of stock market prediction techniques (2019)Stock market movement forecast: A Systematic review (2020)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)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)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)Fuzzy sets (1996)Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)Development and performance evaluation of FLANN based model for forecasting of stock markets (2008)Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 2005Stock market forecasting using hidden Markov model: a new approach382 cited
  • 2008Evolving Least Squares Support Vector Machines for Stock Market Trend Mining218 cited
  • 2001Hybrid Intelligent Systems for Stock Market Analysis176 cited
  • 2002Mining stock price using fuzzy rough set system172 cited
  • 1996A neural network approach to mutual fund net asset value forecasting171 cited
  • 2007Application of wrapper approach and composite classifier to the stock trend prediction167 cited
  • 2009Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques160 cited
  • 2002A roadmap for future neural networks research in auditing and risk assessment155 cited
  • 2010Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait148 cited
  • 2008A neural-network-based nonlinear metamodeling approach to financial time series forecasting

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125 cited
  • 2002Analyzing stock market tick data using piecewise nonlinear model113 cited
  • 2006Forecasting Economic Data with Neural Networks88 cited
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    • 2021A Prediction Model of CNN-TLSTM for USD/CNY Exchange Rate Prediction43 cited