Histogram Patterns Recognition based on Wavelet Transform and Probabilistic Neural Network

摘要：

Control chart and histogram are basic tools for the production processes quality control. Aimed at the characteristics of histogram patterns, learning sample and testing sample are created by MATLAB function. The general framework of combining wavelet transform with PNN is presented, and applied in histogram patterns recognition. The simulation results show that the performance of the proposed method has many advantages, such as simple structure, quick convergence and high aggregate classification rate. Moreover, it can be applied in on-line detection and analysis of histogram.

关键词： Quality Control Histogram Patterns Recognition Wavelet Transform Probabilistic Neural Network (PNN)

作者: Wu Shaoxiong

作者单位: Department of Economics and Management, Fujian University of Technology,Fuzhou, P. R. China, 350108

会议类型: 国际会议

会议名称: The 15th International Conference on Industrial Engineering and Engineering Management(IE&EM2008)(第十五届工业工程与工程管理国际学术会议暨中国机械工程学会第11次工业工程年会)

会议地点: 郑州

会议语种:英文

在线出版日期: 2008-09-20（万方平台首次上网日期，不代表论文的发表时间）