Research on RS-WNN Integrated Modeling

摘要：

Wavelet Neural Network (WNN) integration modeling based on Rough Set (RS) is studied. An integration modeling algorithm named RS-WNN, which first introduces a heuristic attribute reduction recursion algorithm to determine the optimum decision attributes and then conducts WNN modeling, is proposed. This method is adopted to more effectively eliminate the redundant attributes, lower the structure complexity of WNN, which reduce the time of training and improve the generalization ability of WNN. The result of the experiment shows this method is superior and efficient.

关键词： Wavelet Neural Network(WNN) Attribute reduction Rough Set(RS) Integration modeling

作者: Xu Zongchang Tang Xueqin Huang Shufeng

作者单位: Academy of Armored Forces Engineering, Beijing, China, 100072

会议类型: 国际会议

会议名称: 2011 International Conference on Vibration,Structural Engineering and Measurement(2011年振动、结构工程与测量国际会议 ICVSEM 2011)

会议地点: 上海

会议语种:英文

页码: 2169-2173

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）