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›› 2001, Vol. 27 ›› Issue (11): 95-97.

• 论文 • 上一篇    下一篇

BP神经网络在证券分析预测中应用

陈可,张琴舜,陈培培,蔡日基   

  1. 上海交通大学,上海交通大学,上海交通大学,上海交通大学 B9902092上海 200030, B9902092上海 200030, B9902092上海 200030, B9902092上海 200030
  • 发布日期:2001-11-25

BP Neural Network Modeling for Stock Forecasting

CHEN Ke, ZHANG Qinshun, CHEN Peipei, CAI Riji   

  1. (B9902092, Shanghai Jiaotong University, Shanghai 200030)
  • Published:2001-11-25

摘要: 介绍了人工神经网络的基本概念和组成后,讨论了它与传统分析预测方法的区别和优势。对证券分析和预测提出了一种基于BP算法的人工神经网络模型,结台计算实例和结果的误差分析,给出了改进的方向。

关键词: 人工神经网络, BP算法, 证券预测

Abstract: Artificial neural network (ANN) are an information processing inspired by the way the brain processes information. The paper has introduced ANN, compared with the traditional method, to the analysis and forecasting of the stock market. Offering a forecasting model, which based on, model output and error analysis, the paper discussed the advantages of the ANN model and methods to progress.

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