Cargando…
Predicting Physical Time Series Using Dynamic Ridge Polynomial Neural Networks
Forecasting naturally occurring phenomena is a common problem in many domains of science, and this has been addressed and investigated by many scientists. The importance of time series prediction stems from the fact that it has wide range of applications, including control systems, engineering proce...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144909/ https://www.ncbi.nlm.nih.gov/pubmed/25157950 http://dx.doi.org/10.1371/journal.pone.0105766 |