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Hybridizing nonlinear independent component analysis and support vector regression with particle swarm optimization for stock index forecasting
16 references·0 citing·48 second hop
Hybridizing nonlinear independent component analysis and support vector regression with particle swarm optimization for stock index forecasting (2012)Hybridizing nonlinear independent compone…Integration of nonlinear independent component analysis and support vector regression for stock price forecasting (2012)Integration of nonlinear inde…Forecasting Performance of Nonlinear Models for Intraday Stock Returns (2011)Forecasting Performance of No…An efficient CMAC neural network for stock index forecasting (2011)An efficient CMAC neural netw…Integrating independent component analysis-based denoising scheme with neural network for stock price prediction (2010)Integrating independent compo…Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting (2010)Combining independent compone…A multiple-kernel support vector regression approach for stock market price forecasting (2010)A multiple-kernel support vec…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Chinese stock market cyclical regimes: 1991–2006 (2007)Chinese stock market cyclical…AN EXAMINATION OF THE RANDOM WALK MODEL AND TECHNICAL TRADING RULES IN THE MALAYSIAN STOCK MARKET (2007)AN EXAMINATION OF THE RANDOM …A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts (2006)A hybrid support vector machi…Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike (2004)Forecasting the New York stoc…Feature extraction in support vector machine: a comparison of PCA, XPCA and ICA (2004)Feature extraction in support…A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine (2003)A comparison of PCA, KPCA and…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Forecasting with artificial neural networks: (1998)The use of data mining and neural networks for forecasting stock market returns (2005)Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting (2012)Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction (2020)Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees (2021)Application of support vector machines in financial time series forecasting (2001)Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes 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(2022)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Neural network credit scoring models (2000)Deep learning for financial applications : A survey (2020)Stock market movement forecast: A Systematic review (2020)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Stock market prediction system with modular neural networks (1990)Introduction to financial forecasting (1996)Stock market forecasting using hidden Markov model: a new approach (2005)Forecasting daily stock market return using dimensionality reduction (2016)Predicting the direction of stock market prices using tree-based classifiers (2018)
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References

  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2003A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine588 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2010A multiple-kernel support vector regression approach for stock market price forecasting255 cited
  • 2012Integration of nonlinear independent component analysis and support vector regression for stock price forecasting136 cited
  • 2006A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts101 cited
  • 2010Integrating independent component analysis-based denoising scheme with neural network for stock price prediction98 cited
  • 2010Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting77 cited
  • 2004Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike73 cited
  • 2011Forecasting Performance of Nonlinear Models for Intraday Stock Returns54 cited
  • 2011An efficient CMAC neural network for stock index forecasting

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42 cited
  • 2007AN EXAMINATION OF THE RANDOM WALK MODEL AND TECHNICAL TRADING RULES IN THE MALAYSIAN STOCK MARKET40 cited
  • 2004Feature extraction in support vector machine: a comparison of PCA, XPCA and ICA39 cited
  • 2007Chinese stock market cyclical regimes: 1991–200633 cited
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