Study on Data Disposing Method by Vague Set based BP Network

摘要：

The capability to dispose uncertain information of training samples for BP neural network is not strong enough. To tackle this problem, Vague set is introduced into the conventional BP neural network, and the implement method of Vague set based BP (VBP) neural nehvork is studied in detail. To validate the performance of VBP neural network, the monitoring of real time produce process is taken as research background, the result by VBP neural network is compared with those results by conventional BP neural network under three input modes. Fhe result shows that, the test accuracy rate by VBP neural nehvork is higher than those by conventional BP neural network under three input modes. VBP neural network is fit for training samples with uncertain information, and it indicates broad application prospect.

关键词： Vague set BP neural network Fuzzy set membership degree function

作者: Faxin Zhao Chunguang Chang

作者单位: School of Information Science and Technology Zhanjiang Normal University Zhanjiang,Guangdong 524048, School of Management Shenyang Jianzhu University Shenyang, Liaoning 110168, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 841-844

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）