Long-voyage crew body efficiency prediction model capable of dynamically correcting prediction error
The invention provides a long-voyage crew body efficiency prediction model capable of dynamically correcting prediction errors. The long-voyage crew body efficiency prediction model is constructed through the following steps that a static Bayesian network of the long-voyage crew body efficiency prediction model is constructed; based on the static Bayesian network, combining the static Bayesian networks at a plurality of continuous moments, and constructing a dynamic Bayesian network of a long-voyage crew body efficiency prediction model; and based on the dynamic Bayesian network, dividing an operation stage into different stages, and constructing a long-voyage crew body efficiency prediction model. In the human body efficiency prediction model, the representation variable correlation coefficient is introduced to reflect the correlation strength of each representation variable and the human body efficiency evolution, and the correlation coefficient is adjusted for the data characteristics of different representation variables along with the evolution of the operation stage, so that the prediction precision is improved; and in the human body efficiency prediction model, a dynamic prediction error correction coefficient is introduced, prediction error correction of the prediction model in the whole operation process is realized, and the prediction precision is further improved..
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 29. Aug. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
LIANG JIN [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-08-29, Last update posted on www.tib.eu: 2023-12-05, Last updated: 2023-12-08 |
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| Patentnummer: |
CN116665897 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA018480357 |
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| 520 | |a The invention provides a long-voyage crew body efficiency prediction model capable of dynamically correcting prediction errors. The long-voyage crew body efficiency prediction model is constructed through the following steps that a static Bayesian network of the long-voyage crew body efficiency prediction model is constructed; based on the static Bayesian network, combining the static Bayesian networks at a plurality of continuous moments, and constructing a dynamic Bayesian network of a long-voyage crew body efficiency prediction model; and based on the dynamic Bayesian network, dividing an operation stage into different stages, and constructing a long-voyage crew body efficiency prediction model. In the human body efficiency prediction model, the representation variable correlation coefficient is introduced to reflect the correlation strength of each representation variable and the human body efficiency evolution, and the correlation coefficient is adjusted for the data characteristics of different representation variables along with the evolution of the operation stage, so that the prediction precision is improved; and in the human body efficiency prediction model, a dynamic prediction error correction coefficient is introduced, prediction error correction of the prediction model in the whole operation process is realized, and the prediction precision is further improved. | ||
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| 700 | 0 | |a PENG CONG |4 aut | |
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| 700 | 0 | |a ZHANG YULIN |4 aut | |
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