Investigation of the metal tube floater flowmeter based on the LMBR algorithm of neural network

摘要

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.