Application of fuzzy neural networks for the data clusterization problem

被引：2
|
作者：
P. N. Zvyagin
机构：
[1] St. Petersburg State Marine Technical University,Department of Applied Mathematics
[2] St. Petersburg Polytechnic University,Department of High Mathematics
来源：
Optical Memory and Neural Networks | 2007年 / 16卷 / 2期
关键词：
Cluster Center; Information Optic; Fuzzy Neural Network; Optical Memory; Membership Matrix;
D O I：
10.3103/S1060992X07020075
中图分类号：
学科分类号：
摘要：
The fuzzy neural network for pattern clusterization is described. The network training is based on c-means algorithm. An original methodology for the statistical interpretation of result of c-means clusterization is proposed. As an example, the clusterization of vessel hull tenzo measurements on the arctic route. An approach to preprocessing of the raw measurements for the further usage by means of the described methods is discussed.
引用
收藏
页码：104 / 110
页数：6
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