基于遗传算法和神经网络的股票价格预测

针对证券市场运作的复杂性,提出了一种改进的BP神经网络模型,并将其应用于金融街的股价预测。采用遗传算法对网络结构和权值进行了优化,提高了网络的预测精度,加快了收敛速度,克服了以往传统预测方法的缺点。实验结果表明,将改进的BP网络模型用于股市分析和股价预测具有一定的准确性和应用价值。

Forecasting Stock Prices based on Genetic Algorithms and Neural Network

To the complexity of the operation of the securities market,an improved BP neural network model was proposed,and successfully applied to the stock price prediction of Finance Street.The optimization of the network structure and right value by genetic algorithms improved the prediction precision of the network,accelerated the convergence speed,and overcome the shortcoming of the past traditional forecasting methods and network forecasting methods.Experimental result indicated the use of improved BP network m...