首页|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)
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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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.
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXidian University
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