DocumentCode
2540720
Title
Investigation of the metal tube floater flowmeter based on the LMBR algorithm of neural network
Author
Xu, Ying ; Zhang, Tao ; Wang, Hua-xiang ; Chen, De-yu
Author_Institution
Coll. of Electr. & Autom. Eng., Tianjin Univ., China
Volume
1
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
453
Abstract
Based on the investigation of an intelligent metal tube floater flowmeter, a mathematics model is proposed by the means of BP neural network to create. Through successful combination of the Levenberg-Marquardt algorithm with the Bayesian learning, we have obtained an effective algorithm on the position information of the detected floater, which is satisfied for the speed of convergence, generalization capability and precision.
Keywords
backpropagation; belief networks; flowmeters; neural nets; position control; BP neural network; Bayesian learning; LMBR algorithm; Levenberg-Marquardt algorithm; floater flowmeter; metal tube floater; position information; Automation; Convergence; Educational institutions; Intelligent networks; Magnetic field measurement; Mathematical model; Neural networks; Position measurement; Temperature sensors; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1264520
Filename
1264520
Link To Document