Comparison of artificial neural network and regression pedotransfer functions for prediction of soil water retention and saturated hydraulic conductivity

Yerel katalogda bu makaleye atıf yapan 11 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. Evaluation of machine learning methods to predict soil moisture constants with different combinations of soil input data for calcareous soils in a semi arid area 2020 Atıf 72 · OpenAlex
2. Application of hybrid ANN-whale optimization model in evaluation of the field capacity and the permanent wilting point of the soils 2020 Atıf 59 · OpenAlex
3. Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation 2014 Atıf 49 · OpenAlex
4. Comparative Analysis of MLR, ANN, and ANFIS Models for Prediction of Field Capacity and Permanent Wilting Point for Bafra Plain Soils 2020 Atıf 30 · OpenAlex
5. Analyzing the effect of various soil properties on the estimation of soil specific surface area by different methods 2015 Atıf 29 · OpenAlex
6. Application of regression kriging and machine learning methods to estimate soil moisture constants in a semi-arid terrestrial area 2023 Atıf 26 · OpenAlex
7. Application of regression kriging and machine learning methods to estimate soil moisture constants in a semi-arid terrestrial area 2023 Atıf 26 · OpenAlex
8. Mapping Soil Water Retention on AgriculturalLands in Central and Eastern Parts of theBlack Sea Region in Turkey 2016 Atıf 19 · OpenAlex
9. Mapping Soil Water Retention on Agricultural Lands in Central and Eastern Parts of the Black Sea Region in Turkey 2016 Atıf 19 · OpenAlex
10. Using Models and Artificial Neural Networks to Predict Soil Compaction Based on Textural Properties of Soils under Agriculture 2024 Atıf 8 · OpenAlex