Forecasting jet fuel prices using artificial neural networks
Artificial neural networks provide a new approach to commodity forecasting that does not require algorithm or rule development. Neural networks have been deemed successful in applications involving optimization, classification, identification, pattern recognition and time series forecasting. With th...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en_US |
| Published: |
Monterey, California. Naval Postgraduate School
2013
|
| Online Access: | http://hdl.handle.net/10945/31572 |