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Saturated Hydraulic Conductivity Estimation Using Artificia..:
Sevim Seda Yamaç
;
Hamza Negiş
;
Cevdet Şeker
...
New Sensors, New Technologies and Machine Learning in Water Sciences. , 2022
Link:
https://doi.org/10.3390/w14233875
RT Journal T1 <Title>Saturated Hydraulic Conductivity Estimation Using Artificial Intelligence Techniques: A Case Study for Calcareous Alluvial Soils in a Semi-Arid Region</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2073-4441_14_23_3875_&Exemplar=1&LAN=DE A1 Sevim Seda Yamaç A1 Hamza Negiş A1 Cevdet Şeker A1 Azhar M. Memon A1 Bedri Kurtuluş A1 Mladen Todorovic A1 Gadir Alomair PB Multidisciplinary Digital Publishing Institute YR 2022 K1 artificial neural network K1 deep learning K1 decision tree K1 random forest K1 soil data K1 soil conductivity JF New Sensors, New Technologies and Machine Learning in Water Sciences LK http://dx.doi.org/https://doi.org/10.3390/w14233875 DO https://doi.org/10.3390/w14233875 SF ELIB - SuUB Bremen
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