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- W3042606377 abstract "Because of its overall performance, the Extreme Learning Machine (ELM) has been very concerned. This paper introduces the ELM algorithm into the clutter mitigation for weather radar, and proposes a wind turbine clutter mitigation method. Firstly, building training samples. Secondly, the model parameters for ELM are examined and optimized aim to improve its overall performance. Finally, the optimized ELM algorithm is used to recover the weather signal of the contaminated range bin. Simulation results show that the proposed algorithm can realize the precise recovery of the weather signal." @default.
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- W3042606377 date "2020-01-01" @default.
- W3042606377 modified "2023-10-07" @default.
- W3042606377 title "Wind Turbine Clutter Mitigation for Weather Radar by Extreme Learning Machine (ELM) Method" @default.
- W3042606377 cites W2082440206 @default.
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- W3042606377 doi "https://doi.org/10.1007/978-3-030-51103-6_41" @default.
- W3042606377 hasPublicationYear "2020" @default.
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