Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography

Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography

Traditional BP neural network is a typical mehtod to solve ECT system of flow pattern identification. It is applied to the simple problems in industrial applications，but there are many defects in solving complex industrial problems. In this paper based on the analysis of deficiency of BP neural ne...

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Bibliographic Details
Main Authors: WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2018-02-01
Series:Journal of Harbin University of Science and Technology
Subjects:
electrical capacitance tomography
flow regime identification
bp neural network
local minimum
convergence speed
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1488
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