Robotics & Machine Learning Daily News2024,Issue(Sep.9) :104-104.

Xidian University Details Findings in Machine Learning (A Principal Component Di mensional Reduction Involved Fast Prediction Model for Sea Surface Scattering Ba sed On Improved Wen’s Spectrum)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :104-104.

Xidian University Details Findings in Machine Learning (A Principal Component Di mensional Reduction Involved Fast Prediction Model for Sea Surface Scattering Ba sed On Improved Wen’s Spectrum)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Xi’an, People’ s Republic of China, by NewsRx correspondents, research stated, “The electromagn etic (EM) scattering characteristics of sea surfaces are influenced by both rada r parameters and marine environmental parameters, resulting in significant compl exity and randomness. Existing sea scattering coefficient estimation models, bot h EM simulation methods and machine learning-based prediction models, usually ov erlook the impact of wave parameters.” Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Funds for the Central Universities.

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xidian University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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