Research on Combination Prediction Based on BP Neural Network and Markov Chain

摘要：

At present, prediction method is used widely, and its application has their own merits. How to play the advantages of different prediction methods and take advantage of the useful information contained in the data has become the focus of research. This paper starts from the studies of combination prediction method. First, it described the current research status of combination prediction methods. Second, it analyzed the characteristics and applicability of the different prediction methods. Finally, it proposed a combination prediction method based on BP neural network and Markov chain, and applied to the prediction of food production and personal payment in endowment insurance fund. The experimental result shows the performance of our method is effective and feasible.

关键词： combination prediction BP neural network markov chain endowment insurance

作者: Guofeng Liu Shaobin Huang Xiufeng Piao Yuan Cheng

作者单位: College of Computer Science and Technology Harbin Engineering University,HEU Harbin,Heilongjiang,150001,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 527-533

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）