首页|Investigators at Zhejiang Agriculture & Forestry University Report Findings in Machine Learning (Estimation Aboveground Biomass In Subtropical Bam boo Forests Based On an Interpretable Machine Learning Framework)
Investigators at Zhejiang Agriculture & Forestry University Report Findings in Machine Learning (Estimation Aboveground Biomass In Subtropical Bam boo Forests Based On an Interpretable Machine Learning Framework)
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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 Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Forest biomass is anessential i ndicator of forest ecosystem carbon cycle and global climate change research, an d traditionalmachine learning cannot explain the mechanism of feature variable impact on forest aboveground biomass(AGB). Therefore, we proposed an interpreta ble bamboo forest AGB prediction method based on ShaplyAdditive exPlanation (SH AP) and XGBoost model to explain the impact mechanism of feature variableson AG B.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmergingTechnologiesMachine LearningZhejiang Agriculture & Forestry University
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