Cargando…
BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks
The modeling and forecasting of BBS (Bulletin Board System) posts time series is crucial for government agencies, corporations and website operators to monitor public opinion. Accurate prediction of the number of BBS posts will assist government agencies or corporations in making timely decisions an...
Autores principales: | Chen, Jindong, Du, Yuxuan, Liu, Linlin, Zhang, Pinyi, Zhang, Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514164/ https://www.ncbi.nlm.nih.gov/pubmed/33266773 http://dx.doi.org/10.3390/e21010057 |
Ejemplares similares
-
Bardet-Biedl Syndrome as a Chaperonopathy: Dissecting the Major Role of Chaperonin-Like BBS Proteins (BBS6-BBS10-BBS12)
por: Álvarez-Satta, María, et al.
Publicado: (2017) -
On the use of approximate entropy and sample entropy with centre of pressure time-series
por: Montesinos, Luis, et al.
Publicado: (2018) -
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks
por: Velichko, Andrei, et al.
Publicado: (2021) -
Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks
por: Boaretto, B. R. R., et al.
Publicado: (2021) -
BBS4 and BBS5 show functional redundancy in the BBSome to regulate the degradative sorting of ciliary sensory receptors
por: Xu, Qingwen, et al.
Publicado: (2015)