Otwarty dostęp

Research on the Risk Classification of Cruise Ship Fires Based on an Attention-Bp Neural Network


Zacytuj

1. K. Yoshida, ‘Full-scale model tests of smoke movement in ship passenger accommodations (first report)’, Astm Special Technical Publication, 1998, (1336):163-171.10.1520/STP12192S Search in Google Scholar

2. B. Zhang, ‘Research on fire simulation and visualization application of ship engine room’ [D], Wuhan University of Technology, 2018. Search in Google Scholar

3. Yang Shusen, ‘Research on ship fire alarm and escape strategy based on visual sensor’ [D], Jiangsu University of Science and Technology, 2015 Search in Google Scholar

4. Z. Wu Zongkui, Y. Fan, ‘Design of toxic and harmful gas monitoring system based on machine learning method’, Fire Science and Technology, 2020, 39(11):1550-1553. Search in Google Scholar

5. P. Wang, ‘Research on control strategy of ship fire intelligent alarm system’ [D], Harbin Engineering University, 2017. Search in Google Scholar

6. Y.Y. Wei, J.Y. Zhang, J. Wang, ‘Research on building fire risk fast assessment method based on fuzzy comprehensive evaluation and SVM’, Procedia Engineering, 2018, 211:1141-1150.10.1016/j.proeng.2017.12.121 Search in Google Scholar

7. L. Jiang, Y. Liu, Y. Li, et al. Fire prediction based on online sequence extreme learning machine[C]// 2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC). IEEE, 2017.10.1109/ICEIEC.2017.8076630 Search in Google Scholar

8. H. Xu, W. Yuan, M. Yu, ‘Real-time classification of fire hazzard levels in ship cabins’ [J], Ship Science and Technology, 2020, 42(19):72-77. Search in Google Scholar

9. H. Shi, “A Fuzzy Approach to Building Fire Risk Assessment and Analysis,” 2009 Third International Symposium on Intelligent Information Technology Application, 2009, pp. 606-609.10.1109/IITA.2009.73 Search in Google Scholar

10. B. Chen, L. Shang, J. Sun, ‘Simulation study on cabin fire and personnel evacuation of passenger ships’, China Ship Repair, 2020, 33(06):34-38. Search in Google Scholar

11. X. Wang, M. Zhu, D. Bo, et al. AM-GCN: Adaptive Multi-channel Graph Convolutional Networks[J]. ACM, 2020.10.1145/3394486.3403177 Search in Google Scholar

eISSN:
2083-7429
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Engineering, Introductions and Overviews, other, Geosciences, Atmospheric Science and Climatology, Life Sciences