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- W2807316941 abstract "This paper introduces a new soil moisture (SM) retrieval approach based on ultra-wideband (UWB) echoes. The approach employs two fuzzy logic systems (FLSs) -adaptive network-based fuzzy inference system (ANFIS) and type 1 fuzzy logic system (T1FLS) respectively, to extract features in soil echoes. Artificial neural network (ANN) is applied to classify with different volume water contents (VWCs). 9 types of UWB soil echoes of different texture and VWC are collected and investigated using our approach. Final analysis shows ANFIS with ANN provides a better VWC correct recognition rate (CRR) than T1FLS with ANN at high SNRs." @default.
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- W2807316941 date "2018-06-07" @default.
- W2807316941 modified "2023-10-18" @default.
- W2807316941 title "Soil Moisture Retrieval Using UWB Echoes via ANFIS and ANN" @default.
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- W2807316941 doi "https://doi.org/10.1007/978-981-10-6571-2_151" @default.
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