𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The principles and practice of time series forecasting and business modelling using neural nets

✍ Scribed by R. G. Hoptroff

Book ID
105185175
Publisher
Springer-Verlag
Year
1993
Tongue
English
Weight
679 KB
Volume
1
Category
Article
ISSN
0941-0643

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Drought forecasting using artificial neu
Drought forecasting using artificial neural networks and time series of drought indices
✍ Saeid Morid; Vladimir Smakhtin; K. Bagherzadeh πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 230 KB

## 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 indicesβ€”continuous functions of rainfall which measure the degre

Time series forecasting using neural net
Time series forecasting using neural networks: should the data be deseasonalized first?
✍ Michael Nelson; Tim Hill; William Remus; Marcus O'Connor πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 118 KB πŸ‘ 1 views

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