The complexity of inside structure and levity of exterior complication in system of stock market make stock market prediction a complex problem. The traditional methods and tools have not met its needs.
但是股价系统内部结构的复杂性、外部因素的多变性决定了股市预测这项任务的艰巨性,而传统的预测工具已不能满足这种需要。
参考来源 - 神经网络方法在股市预测中的应用研究The following works have been done in this thesis:1. Several applications of the neural networks in the stock market prediction have been summarized.2.
本文的工作主要有以下几个方面： 1．概括总结了神经网络在股市预测模型中的应用。
参考来源 - 神经网络在股市预测中的建模及应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
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。
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