| Download | - View accepted manuscript: A CBR-Based Approach for Ship Collision Avoidance (PDF, 495 KB)
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| Author | Search for: Liu, Y.; Search for: Yang, Chunsheng; Search for: Du, X. |
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| Format | Text, Article |
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| Conference | The Twenty First International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2008), June 18-20, 2008, Wroclaw, Poland |
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| Subject | case-based reasoning; ship collision avoidance; case retrieval; case learning |
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| Abstract | In this paper, we propose a novel CBR-based approach for ship collision avoidance. After the introduction of the CBR-based decision-making support, we present two abstraction principles, selecting view points and describing granularity, to create collision avoidance cases from real-time navigation data. Several issues related case creation and CBR-based decision-making support are discussed in details, including case presentation, case retrieval and case learning. Some experimental results show the usefulness and applicability of CBR-based approach for ship collision avoidance. |
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| Publication date | 2008 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49918 |
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| NPARC number | 8913760 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | fae33ffb-552b-4187-aa46-d4abe45f2615 |
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| Record created | 2009-04-22 |
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| Record modified | 2020-08-12 |
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