Recognition of pump state by RBF neural network

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 ou...

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Bibliographic Details
Published in2005 IEEE International Conference on Robotics and Biomimetics - ROBIO pp. 224 - 227
Main Authors Jimei Wu, Qiumin Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Blades
Character recognition
Frequency
Friction
Monitoring
Neural networks
Printing
Pumps
Temperature
Testing
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Summary: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
ISBN:9780780393158
0780393155
DOI:10.1109/ROBIO.2005.246267