Analysis of recurrent neural networks for henon simulated time-series forecasting
Forecasting of chaotic time-series has increasingly become a challenging subject. Non-linear models such as recurrent neural networks have been successfully applied in generating short term forecasts, but perform poorly in long term forecasts due to the vanishing gradient problem when the forecastin...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Universiti Teknikal Malaysia Melaka
2018
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045223381&partnerID=40&md5=f3c7250ee392264d86af48ebbec27e29 http://eprints.utp.edu.my/21295/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|