@inproceedings{8bc5cc0c384f42279c55df7b422c3cc9,
title = "Research on flow calculation method based on BP neural network",
abstract = "Based on the relationship between flow and pressure in the flow standard facility, a BP neural network calculation model is established in this paper considering the influence of parameters like valve opening and pump frequency. Through the flow measurement experiment, the training and testing sample data are obtained, and then the established BP neural network model is trained and tested. The calculation results show that the established BP neural network model can accurately obtain the instantaneous flow value through the pressure in the pipeline.",
keywords = "BP neural network, Flow, Flow standard facility, pressure",
author = "Tao Meng and Zhonghao Sun and Xiaoming Zhang and Jiawei Zhang and Huichao Shi",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2019 ; Conference date: 22-11-2019 Through 24-11-2019",
year = "2019",
month = nov,
doi = "10.1109/AUTEEE48671.2019.9033151",
language = "英语",
series = "Proceedings of 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "584--587",
booktitle = "Proceedings of 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2019",
address = "美国",
}