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- W106673471 abstract "In this paper the Case-Based Reasoning(CBR) method is applied to the dynamic forecast of sea surface temperature(SST). By analyzing the data records of sea surface temperature in Indian Ocean since 1991 to 2006, this paper uses the attribute-oriented induction algorithm for summarizing the spatial resolution 0.1o×0.1o of the regional data into the spatial resolution 5o×5o. It can solve such problems as the large amount of data of sea surface temperature, as well as the lack of sea surface temperature data from satellite remote sensing due to cloud cover. The case retrieval performs similarity calculation for the sea surface temperature, and executes the weighted average method when the similarity value of the candidate case is greater than the threshold. Results of experiments show that the method can effectively forecast the SST." @default.
- W106673471 created "2016-06-24" @default.
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- W106673471 date "2012-01-01" @default.
- W106673471 modified "2023-10-07" @default.
- W106673471 title "A CBR - Based Approach for Forecasting SST" @default.
- W106673471 cites W1964980811 @default.
- W106673471 doi "https://doi.org/10.1007/978-3-642-34240-0_10" @default.
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