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A systematic method based on statistical pattern recognition for estimating product quality on-line

Journal of University of Science and Technology Beijing 2003年第1期10卷 69-73页

作者： Guang Li, Huade Li, Shaoyuan Sun, and Zhengguang XuInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China Information Engineering School University of Science and Technology Beijing Beijing 100083 China

To avoid the complexity of building mechanistic models by studying the inner nature of the object, a systematic method based on statistical pattern recognition is developed in order to estimate the product quality on-line. The mapping relationship between a feature space and a product quality space can be built by using regression analysis, and in applying clustering analysis the product quality space can be partitioned automatically. Eventually, estimating product quality on-line can be accomplished by sorting the mapped data in the partitioned quality space. A concrete problem is proposed which has a relatively small ratio of training data to input variables. By implementing the method mentioned above, a satisfying result has been achieved. Furthermore, the further question about choosing suitable mapping methods is briefly discussed.

关键词： pattern recognition regression analysis clustering analysis isodata algorithm sorting algorithm

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Determining the Function Centers of RBF with Clustering algorithms and Self-Organizing Map

Determining the Function Centers of RBF with Clustering Algo...

引用

1998 International Conference on Neural Networks and Brain(ICNN&B’98)

作者： Wang Xiangdong Li Yujian Chen Chuan ANNG

＜正＞In RBF network models,the determination of the location of the function centers requires various techniques for different *** RBF is applied in pattern recognition,this problem can be solved by pattern clustering *** this paper, we employ two clustering algorithms:k-means and isodata to solve the *** addition,selforganizing map is also used in the *** an example,RBF’s application in handwrittten digit recognition is also given.

关键词： radial basis fucntion k-means algorithm isodata algorithm self-organizing map

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