The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it.
The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it is known that an ANN will ...
In this paper, an ANN model is used to retrieve soil moisture from the H- and V-polarized brightness temperature obtained. The research discussed in this paper ...
The performance of the ANN models with different algorithm is evaluated by comparing the direct measured value of soil roughness and soil moisture with the soil ...
Some produce the globally acceptable accuracy of less than or equal to 4%v/v of Root Mean Square. Error (RMSE). However, the standard deviation among the 11 ...
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Oct 22, 2024 · Conclusions This study introduces two effective methodologies for accurate estimation of SMC at different depths using multispectral remote ...
Dec 24, 2020 · In this study, the Bayesian regularization backpropagation algorithm is built to predict the internal friction angle of the soil based on 145 data collected ...
Using machine learning techniques, it is possible to accurately model the complex relationships between different factors and input data to estimate soil ...
Input Pattern. According to Standard Deviation of Backpropagation Neural Network: Influence on Accuracy of Soil Moisture Retrieval. In IEEE International.
The soil moisture retrieval accuracy is improved with machine learning algorithms compared to the empirical model, and the performance of the RF algorithm is ...