Application of Improved SOM Neural Network in Manufacturing Process Quality Control

摘要：

　　The use of neural networks in quality control has been a popular research topic over the last decade.An adaptive self-organizing mapping (SOM) neural network algorithm is proposed to overcome the shortages of traditional neural networks in this paper.In order to improve the classification effectiveness of SOM neural network,this paper designs an improved SOM neural network,which improved the algorithm formula based on input vector,the number setting of competitive layer neurons and the initializing weight vector.And the method is used to classify the product of cement slide shoe bearing in manufacturing process quality control,and experiment results show that the algorithm adapts well the unsupervised learning problems.

关键词： Self-organizing Mapping (SOM) artificial neural network manufacturing process quality control

作者: Yibing Li Fei Pan

作者单位: School of Mechanic and Electronic Engineering Wuhan University of Technology Wuhan,China,430070

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1155-1158

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）