In this paper two new approaches, the neural network and fuzzy logic, for noise pollution evaluation, are compared. Both the proposed approaches have shown good approximation performances as confirmed by the values of same indexes, that have been computed. In particular the fuzzy approach seems to work slightly better than the neural networks, due to their interpolation capability, considered; on the other side, the fuzzy approach should work better when real data must be interpolated by using some model.
Titolo: | Comparison of Innovative Approaches to Noise Pollution Evaluation | |
Autori interni: | ||
Data di pubblicazione: | 1994 | |
Handle: | http://hdl.handle.net/20.500.11769/88165 | |
ISBN: | 0931784271 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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.