暂无分享,去创建一个
[1] A. Gupta,et al. Stock market prediction using Hidden Markov Models , 2012, 2012 Students Conference on Engineering and Systems.
[2] Jiansheng Wu,et al. Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting , 2011, ICIC.
[3] Yunqian Ma,et al. Practical selection of SVM parameters and noise estimation for SVM regression , 2004, Neural Networks.
[4] Chih-Chou Chiu,et al. A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting , 2013, Decis. Support Syst..
[5] Chi-Jie Lu,et al. Computational Intelligence Approaches for Stock Price Forecasting , 2012, 2012 International Symposium on Computer, Consumer and Control.
[6] Huaiqing Wang,et al. Financial time series forecasting using LPP and SVM optimized by PSO , 2012, Soft Computing.
[7] Huang Li-li,et al. Financial time series forecasting based on wavelet kernel support vector machine , 2012, 2012 8th International Conference on Natural Computation.
[8] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[9] Lipo Wang,et al. Neural Networks and Wavelet De-Noising for Stock Trading and Prediction , 2013, Time Series Analysis, Modeling and Applications.
[10] Qinghua Ma,et al. Research on Support Vector Regression in the Stock Market Forecasting , 2012 .
[11] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[12] Mohammad Hossein Fazel Zarandi,et al. A hybrid fuzzy intelligent agent‐based system for stock price prediction , 2012, Int. J. Intell. Syst..
[13] Liu Quan,et al. Financial time series forecasting using LPP and SVM optimized by PSO , 2013, SOCO 2013.
[14] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[15] Elmer P. Dadios,et al. Robust stock trading using fuzzy decision trees , 2012, 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).
[16] Haifei Liu,et al. Improved Stock Market Prediction by Combining Support Vector Machine and Empirical Mode Decomposition , 2012, 2012 Fifth International Symposium on Computational Intelligence and Design.
[17] Guo-qiang Xie. The Optimization of Share Price Prediction Model Based on Support Vector Machine , 2011, 2011 International Conference on Control, Automation and Systems Engineering (CASE).
[18] Hani Hagras,et al. An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets , 2012, 2012 12th UK Workshop on Computational Intelligence (UKCI).
[19] Daniel N. Wilke,et al. Analysis of the particle swarm optimization algorithm , 2007 .
[20] J. Kennedy,et al. Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[21] Shouyang Wang,et al. Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting , 2013, Int. J. Comput. Intell. Syst..
[22] Wang Peng,et al. Input dimension reduction for load forecasting based on support vector machines , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.
[23] Selcuk Cebi,et al. Computational Intelligence Techniques for Risk Management in Decision Making , 2012 .
[24] Johan A. K. Suykens,et al. Least Squares Support Vector Machines , 2002 .
[25] B. B. Misra,et al. Index prediction with neuro-genetic hybrid network: A comparative analysis of performance , 2012, 2012 International Conference on Computing, Communication and Applications.
[26] Olivier Coupelon,et al. Neural network modeling for stock movement prediction, a state of the art , 2007 .
[27] Genaro Daza Santacoloma,et al. Parameter Selection in Least Squares-Support Vector Machines Regression Oriented, Using Generalized Cross-Validation , 2012 .