Title :
Can we estimate atmospheric predictability by performance of neural network forecasting? the toy case studies of unforced and forced lorenz models
Author :
Pasini, Antonello ; Pelino, Vinicio
Keywords :
Air pollution; Atmosphere; Atmospheric modeling; Chaos; Computer aided software engineering; Electronic mail; Frequency; Neural networks; Predictive models; Remuneration;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2005. CIMSA. 2005 IEEE International Conference on
Print_ISBN :
0-7803-9026-1
DOI :
10.1109/CIMSA.2005.1522829
