Forecasting the behavior of multivariate time series using neural networks
β Scribed by Kanad Chakraborty; Kishan Mehrotra; Chilukuri K. Mohan; Sanjay Ranka
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 758 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This research investigates whether prior statistical deseasonalization of data is necessary to produce more accurate neural network forecasts. Neural networks trained with deseasonalized data from Hill et al. (1996) were compared with neural networks estimated without prior deseasonalization. Both s
## Abstract Drought forecasting is a critical component of drought risk management. The paper describes an approach to drought forecasting, which makes use of Artificial Neural Network (ANN) and predicts quantitative values of drought indicesβcontinuous functions of rainfall which measure the degre