Researchers at National Time Service Center Release New Study Findings on Suppor t Vector Machines (Research on ELoran Demodulation Algorithm Based on Multiclass Support Vector Machine)

Robotics & Machine Learning Daily News2024，Issue(Sep.26) ：51-51.

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Researchers at National Time Service Center Release New Study Findings on Suppor t Vector Machines (Research on ELoran Demodulation Algorithm Based on Multiclass Support Vector Machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on have been presented. According t o news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Demodulation and decoding are pivotal for the eLoran system’s timing and information transmission capabilities.” Funders for this research include Key Research And Development Project of Sichua n Science And Technology Department; Soft Science Project of China Meteorologica l Administration; Natural Science Foundation of Sichuan Province.

Key words

National Time Service Center/Xi’an/Peo ple’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learni ng/Support Vector Machines/Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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