Xiong et al., 2022 - Google Patents
Research on the risk classification of cruise ship fires based on an Attention-Bp Neural NetworkXiong et al., 2022
View PDF- Document ID
- 7977614433849996227
- Author
- Xiong Z
- Xiang B
- Chen Y
- Chen B
- Publication year
- Publication venue
- Polish Maritime Research
External Links
Snippet
Due to the relatively closed environment, complex internal structure, and difficult evacuation of personnel, it is more difficult to prevent ship fires than land fires. In this paper, taking the large cruise ship as the research object, the physical model of a cruise cabin fire is …
- 230000001537 neural 0 title abstract description 47
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102708645B (en) | Ship-cabin chain fire-disaster alarming priority assessment method | |
CN103679558B (en) | Electric automobile charging and conversion electric station fire risk data evaluation method | |
CN113379267B (en) | Urban fire event processing method, system and storage medium based on risk classification prediction | |
Bastani et al. | Contaminant source identification within a building: toward design of immune buildings | |
CN114372682A (en) | Fire-entry suit environment adaptability assessment method and system based on AHP-fuzzy comprehensive evaluation | |
Shi et al. | Risk assessment on falling from height based on AHP-fuzzy | |
CN107633638A (en) | A kind of Intelligent Fire Detection method based on WSN | |
CN108053121A (en) | A kind of safe big data health degree appraisal procedure of structural fire protection based on AHP | |
CN110059949A (en) | A kind of aluminium powder risk of explosion appraisal procedure based on catastrophe theory | |
Safari et al. | A novel type-2 adaptive neuro fuzzy inference system classifier for modelling uncertainty in prediction of air pollution disaster (research note) | |
Xiong et al. | Research on the risk classification of cruise ship fires based on an Attention-Bp Neural Network | |
Cao et al. | Field detection of indoor fire threat situation based on LSTM-Kriging network | |
Wang et al. | Deep learning-based hydrogen leakage localization prediction considering sensor layout optimization in hydrogen refueling stations | |
CN110009241A (en) | A kind of appraisal procedure and device of in-service power cable channel security against fire level | |
Zemlianskiy et al. | Forecasting the emergency explosive environment with the use of fuzzy data | |
CN103577700B (en) | Boat firefighting system interlock failure prediction method | |
CN117851879A (en) | Method and device for studying, judging and predicting disaster evolution of leakage explosion accident of hydrogen station | |
Lyu et al. | Examination on avionics system fault prediction technology based on ashy neural network and fuzzy recognition | |
Wen et al. | Design of an intelligent alarm system based on multi-sensor data fusion | |
Ying et al. | H∞ parameter identification and H 2 feedback control synthesizing for inflight aircraft icing | |
Zhang et al. | To ensure the safety of storage: Enhancing accuracy of fire detection in warehouses with deep learning models | |
Xue | The road tunnel fire detection of multi-parameters based on BP neural network | |
Önen | A Comparison of Frequentist and Bayesian Approaches: The Power to Detect Model Misspecifications in Confirmatory Factor Analytic Models. | |
Kuşkapan et al. | Examination of Aircraft Accidents That Occurred in the Last 20 Years in the World | |
Wei et al. | Risk assessment for vehicle injury accidents in non-coal mines based on bow-tie model |