Recognition of pump state by RBF neural network

被引：0

作者：

Wu, Jimei ^{[1
]}

Wu, Qiumin ^{[1
]}

机构：

[1] Xian Univ Technol, Inst Printing & Packaging Engn, Printing Engn Dept, Xian, Peoples R China

来源：

2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS | 2006年

关键词：

mode recognition; state monitoring; neural network; radial basis function;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

The arising of neural network theory is a breakthrough from machine processing to man's thinking mode. On the basis of the traditional BP and RBF neural network, this article applies a new algorithm {(user-defined step Radial basis function to recognize ZYB03-60 vacuum air press pump. It turns out that the algorithm can train studying-speed faster and it is of good self-adaptation to data.

引用

页码：224 / +

页数：2