Several applications of the neural networks in the stock market prediction have been summarized.
概括总结了神经网络在股市预测模型中的应用。
Then, We creatively make use of the nonlinear reflection ability and association learning ability of artificial neural network, and propose a general model of the stock market prediction.
然后运用神经网络模型的非线性映射能力和学习联想能力，提出了证券市场预测的通用模型。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Therefore the study and prediction of disciplinarian in stock market have great theoretical significance and applicable value.
因此，股市内在规律的研究和预测具有极其重要的理论意义和应用价值。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
Studies on the discreteness of stock price series can provide useful information to aid market analysis and prediction.
对股价序列的离散性研究能提供一些用于股市分析和预测的有用信息。
The trend of stock market looks like disorderly, but its has internal disciplinarian actually, which is the base of stock prediction using neural network.
股票市场的走势看起来杂乱无章，但实际上有其内在的变化规律，而这正是神经网络预测股市的基础。
Stock market price prediction is regarded as a challenging task of the financial time series prediction process.
股票市场价格预测一直以来都被认为是金融时序预测领域的一项具有挑战性的工作。
It is shown that the rough network is accurate and available for prediction of stock market.
计算结果表明，粗神经网络用于股市预测是可行的，结果也较准确。
The prediction of stock market based on the artificial neural network has almost the same precision as that based on time series models.
通过人工神经网络得到的预测结果基本上与较传统的时间序列理论得到的预测结果精度相似。
Stock market is a complex non-linear dynamic system. It is difficult to reflect market with the trait of more factors, non-linear and time variety using the traditional timing prediction technology.
股票市场是一个复杂的非线性动态系统，利用传统的时间序列预测技术很难反映市场变化的多因素，非线性、时变性等特点。
As stock market is a kind of complex non-linear dynamic system, the prediction results of traditional prediction technology are unsatisfactory.
股票市场是一个复杂的非线性动态系统，利用传统的时间序列预测技术预测效果不理想。
As stock market is a kind of complex non-linear dynamic system, the prediction results of traditional prediction technology are unsatisfactory.
股票市场是一个复杂的非线性动态系统，利用传统的时间序列预测技术预测效果不理想。
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