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机译:基于人工神经网络和普通克里格的土壤有机质含量空间预测。
College of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, China,Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, China;
College of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, China;
College of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, China;
Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, China;
Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, China;
Soil organic matter; Digital soil mapping; Artificial neural network; Ordinary kriging; Accuracy improvement;
机译:一种极端学习机和普通克里格的混合地质统计模型对土壤有机物的空间预测
机译:利用多线性回归,普通克里格和人工神经网络方法的土壤盐度空间建模
机译:用综合人工神经网络/回归模型和克里格用稻虾养土壤盐水和肥皂土的空间预测
机译:西藏高原土壤氮气和碳含量的控制因素:土壤形成,永久冻土和土壤水分
机译:使用第三阶段NEXRAD降水面和雨量计测量评估普通协同克里格法和人工神经网络以优化降雨估计。
机译:将人工神经网络与普通克里格相结合预测中国辽河流域湿地土壤有机碳浓度
机译:利用多种线性回归,普通克里格和人工神经网络方法在芯片平原中使用多元线性回归的空间建模