HIGHLIGHTS
- who: Xiaoning Li and colleagues from the College of Computer Science and Technology, Jilin University, Changchun, China have published the Article: Learning the Indicative Patterns of Simulated Force Changes in Soil Moisture by BP Neural Networks and Finding Differences with SMAP Observations, in the Journal: Sustainability 2022, 11310 of /2022/
- what: The aim of this study was to identify the indicators of the variability of anthropogenic force based on natural force and internal variability, in addition to model differences. The authors compare the standard multiple linear regression method to gain reliable indicators. The authors evaluate . . .
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