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...
Saved in:
| 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: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1488 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Huang Clan Correction Image Reconstruction Algorithm For Electrical CapacitanceTomography System
by: CHEN Yu, et al.
Published: (2018-10-01) -
A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography
by: YANG Ting, et al.
Published: (2018-04-01) -
A Broyden Correction Image Reconstruction Algorithm for Electrical Capacitance Tomography System
by: CHEN Yu, et al.
Published: (2019-06-01) -
Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography
by: WANG Li-li, et al.
Published: (2018-08-01) -
Homotopy Extension and Selfscaling Metric Image Reconstruction Algorithm for Electrical Capacitance Tomography System
by: CHEN Yu, et al.
Published: (2020-10-01)