In this paper, we focus on the Soil Organic Carbon (SOC) prediction, to discuss a comparative analysis between two recently proposed techniques, namely the Adaptive Networkbased Fuzzy Inference System (ANFIS) with fractional Tikhonov regularization and the Extreme Learning Machine (ELM) with the same kind of regularization. Three groups of experiments were performed using some publicly available datasets, in particular from Estonia. The results showed the good accuracy of the ANFIS-based approach.
Predicting the soil organic carbon by recent machine learning algorithms
Tomasiello S.;
2022-01-01
Abstract
In this paper, we focus on the Soil Organic Carbon (SOC) prediction, to discuss a comparative analysis between two recently proposed techniques, namely the Adaptive Networkbased Fuzzy Inference System (ANFIS) with fractional Tikhonov regularization and the Extreme Learning Machine (ELM) with the same kind of regularization. Three groups of experiments were performed using some publicly available datasets, in particular from Estonia. The results showed the good accuracy of the ANFIS-based approach.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.