Stock Price Predicting Using SVM Optimized by Particle Swarm Optimization Based on Uncertain Knowledge

@inproceedings{Xin2012StockPP,
  title={Stock Price Predicting Using SVM Optimized by Particle Swarm Optimization Based on Uncertain Knowledge},
  author={Jin Xin and Kang Yuhong and Zhang Keyi},
  year={2012}
}
Stock prices have the characteristics of nonlinearity, randomicity and uncertainty, so It is difficult to accurately depict the change rules of stock prices using traditional linear forecasting methods, which lead to low stock price prediction accuracy. In order to improve the stock price prediction precision , this paper proposed a stock price predicting model using SVM optimized by particle swarm optimization based on uncertain knowledge(PSO-UK). We used the great optimization ability of PSO… CONTINUE READING

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