Construction Risk Monitoring Method of Subway Foundation Pit Engineering Based on Simulated Annealing Neural Network-Reference-Cited by-同舟云学术

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Construction Risk Monitoring Method of Subway Foundation Pit Engineering Based on Simulated Annealing Neural Network

Published:2023 Issue: Volume: Page:571-587
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Ma Tengfei,Zhang Mingxian,Ji Zhuoli,Zhang Shuibing,Zhang Yi

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28867-8_42

Reference12 articles.

1. Zhong, X.: Simulation of building construction safety early warning model based on support vector machine. Comput. Simul. 36(08), 459–462 (2019)

2. Cao, Y.: Optimization of adaptive signal control using simulated annealing algorithm. J. Transport. Eng. Inf. 59(01), 53–59+64 (2018)

3. Jiang, M.: A predication model of bp neural network based on genetic simulated annealing algorithms. Softw. Eng. 021(007), 36–38 (2018)

4. Hu, Z., Li, W., Qiao, J.: Frequency conversion sinusoidal chaotic neural network based on self-adaptive simulated annealing. Acta Electron. Sin. 47(03), 613–622 (2019)

5. Gong, S., Liu, J., Mei, L., et al.: Loss optimization model for multi-hop HF radio transmission on sea surface based on BP simulated annealing algorithm. New Industr. Strareg. 4, 17–21 (2019)

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