A new low-error approximation of the sigmoid function based on the piecewise linear method is proposed. The approximation results, in comparison with those of the state-of-the-art, show the lowest mean absolute and relative errors.
Low-error approximation of artificial neuron sigmoid function and its derivative
Pioggia G;
2009
Abstract
A new low-error approximation of the sigmoid function based on the piecewise linear method is proposed. The approximation results, in comparison with those of the state-of-the-art, show the lowest mean absolute and relative errors.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_24091-doc_28712.pdf
solo utenti autorizzati
Descrizione: Low-error approximation of artificial neuron sigmoid function and its derivative
Dimensione
138.35 kB
Formato
Adobe PDF
|
138.35 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


