首页|Researchers at Wuhan University Have Reported New Data on Machine Learning (Fusi on of Machine Learning and Semi-empirical Models for Cooperative Retrieval of So il Moisture With Optical and Sar Remote Sensing: Cyclic or Parallel?)
Researchers at Wuhan University Have Reported New Data on Machine Learning (Fusi on of Machine Learning and Semi-empirical Models for Cooperative Retrieval of So il Moisture With Optical and Sar Remote Sensing: Cyclic or Parallel?)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Wuhan, People’s Republic of Chi na, by NewsRx journalists, research stated, “Semi-empirical modelsand machine l earning (ML) models have been widely used in remote sensing studies. In order to explorethe feasible joint mode integrating semi-empirical model and ML algorit hm, two distinct joint modes, cycleand series mode and deep and parallel mode, were designed and evaluated to synthesize the respectiveadvantages of the two m odels to complete high-resolution soil moisture retrieval.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote SensingWuhan Univers ity
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