| 摘要: |
| 文章首先扼要论述了金融市场数据以及计算智能方法学的基本性质及其在数据发掘中的应用前景，提出了一个用遗传算法配合神经网络进行优化训练后，用于发现股票市场价格变化趋势和预测模型的实验系统．文章着重论述了这一系统的设计思想和实现技术．最后，随意选择上海中百一店股票行情为实验研究对象，给出了用所述方法进行预测的实验结果. |
| 关键词: 金融市场预测 计算智能 遗传算法 神经网络 |
| DOI： |
| 分类号: |
| 基金项目:本文研究得到NSFC基金,国家863高科技项目基金资助. |
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| Computational Intelligence Approach for Discovering\= the Prediction Model of Financial Market |
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TONG Fu,FEI Liangjun
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| Abstract: |
| The nature of the stock market data is briefly discussed first. It follows a brief discussion on the nature of the methodology of computational intelligence and their application perspectives for data mining. An experimental system for discovering the trend of market price changing and the prediction model from the stock exchange data records are proposed, in which, the training parameters of a neural network are optimized and defined by running the genetic algorithm along with the training procedure of the neural network.The ideas of design and the techniques of implementation are described in detail in this paper.Taking arbitrary the Shanghai First Department Store for case study,the experimental results are given finally. |
| Key words: Financial market prediction computational intelligence genetic algorithm neural network |
