Caricamento...
Transformer fault diagnosis using continuous sparse autoencoder
This paper proposes a novel continuous sparse autoencoder (CSAE) which can be used in unsupervised feature learning. The CSAE adds Gaussian stochastic unit into activation function to extract features of nonlinear data. In this paper, CSAE is applied to solve the problem of transformer fault recogni...
Salvato in:
| Pubblicato in: | Springerplus |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2016
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4830783/ https://ncbi.nlm.nih.gov/pubmed/27119052 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-2107-7 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|