There are several well known Machine Learning techniques highly suitable for habitat modeling. We applied classification trees and artificial neutral networks (ANNs) to model presence/absence of Telestes muticellus, in order to evaluate their reliability and to compare their performances. The best performance of ANNs stressed their usefulness, as evidenced by their predictive power - not based on chance - and good discrimination.
Use of two data mining techniques to model presence/absence of Telestes muticellus, in Piedmont (North-Western Italy). Short note
TIRELLI, Santina;PESSANI, Daniela
2010-01-01
Abstract
There are several well known Machine Learning techniques highly suitable for habitat modeling. We applied classification trees and artificial neutral networks (ANNs) to model presence/absence of Telestes muticellus, in order to evaluate their reliability and to compare their performances. The best performance of ANNs stressed their usefulness, as evidenced by their predictive power - not based on chance - and good discrimination.
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.
