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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264520
