Evaluation model of seismic toughness of water supply system based on BP neural network algorithm-Reference-Cited by-同舟云学术

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Evaluation model of seismic toughness of water supply system based on BP neural network algorithm

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
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Author:

Li Qian¹,Shan Wei¹,Wang Tiancheng²,Yu Tianlai³,Li Weiwei²

Affiliation:

1. Northeast Forestry University Engineering Consulting Design Institute Co., Ltd.,Harbin,Heilongjiang Province,China

2. Harbin Vocational Technical College,School of Architectural Engineering,Harbin,Heilongjiang Province,China

3. School of Civil Engineering Northeast Forestry University,Harbin,Heilongjiang Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731095/9730887/09731194.pdf?arnumber=9731194

Reference15 articles.

1. Improving water and energy metabolism efficiency in urban water supply system through pressure stabilization by optimal operation on water tanks[J];xu;Ecological Informatics,2015

2. Study on Energy-Saving of Urban Water Supply System Variable Frequency Pumping Station[J];li;Advanced Materials Research,2011

3. Fault measurement detection in an urban water supply network

4. 7039 Research on the process of implementing Environmental Water Supply System for earthquake fire preservation: in case of tourist village, Shirakawago[J];yokoyama;Chinese Journal of Experimental & Clinical Infectious Diseases,2011

5. Resilient water supply system for earthquake and tsunami

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