Applications of artificial neural networks to the nonlinear combination of forecasts
โ Scribed by Shanming Shi; Li D. Xu; Bao Liu
- Book ID
- 111060355
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 522 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0266-4720
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An accurate tidal forecast is an important task in determining constructions and human activities in ocean environments. Conventional tidal forecasting has been based on harmonic analysis using the least squares method to determine harmonic parameters. However, a large number of parameters are requi
A neural network with two hidden layers is developed to forecast typhoon rainfall. First, the model configuration is evaluated using eight typhoon characteristics. The forecasts for two typhoons based on only the typhoon characteristics are capable of showing the trend of rainfall when a typhoon is
Rainfall forecasting ia important for many catchment management applications, in particular for flood warning systems. The variability of rainfall in spsce and time, howeve r, renders quantitative forecasting of rainfall extremely difIicult. The depth of rainfall and its diiribution in the temporal