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• W2620126052 abstract "Quaternion signal processing has been an increasing popular research topic for its application in a wide range of fields, and extreme learning machine (ELM) is an emerging training strategy for the generalized single hidden layer feedforward neural networks. However, extreme learning machine could not fully explore its potentials in quaternion signal processing. To this end, this paper propose an quaternion ELM model, which retain the essential characters of the ELM such as the fast learning and universal approximation capability, while enjoying advantages originated from the quaternion algebra. Two simulation examples are provided to support our analysis and to exhibit the enhanced performance of the proposed model over ELM when dealing with the 3D and 4D signal processing problems." @default.
• W2620126052 created "2017-06-05" @default.
• W2620126052 creator A5020207557 @default.
• W2620126052 creator A5065721557 @default.
• W2620126052 date "2017-05-26" @default.
• W2620126052 modified "2023-09-27" @default.
• W2620126052 title "Quaternion Extreme Learning Machine" @default.
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• W2620126052 doi "https://doi.org/10.1007/978-3-319-57421-9_3" @default.
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