Autor: |
Yang Xiao |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
Druh dokumentu: |
article |
ISSN: |
2444-8656 |
DOI: |
10.2478/amns.2023.2.00959 |
Popis: |
This paper uses visual multimedia technology to establish a model for civil aviation transportation information services. A training subset is generated with a random forest, and the strength and relevance indicators of the random forest are examined. The generated decision tree is run on the corresponding out-of-bag data to evaluate its classification ability and obtain its weights. The leaf nodes of the decision tree are normalized to calculate the out-of-bag estimation of classification strength to realize the application of visual multimedia technology in the civil aviation transportation information service system. The system scores after application are all 8 and above, and the highest can reach 10. The quality of its service efficiency and level is improved, and passengers traveling by air are satisfied. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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