A Soft Computing technique in rainfall forecasting
| dc.creator | Chattopadhyay, Surajit | |
| dc.creator | Chattopadhyay, Manojit | |
| dc.date | 2007-03-22 | |
| dc.date.accessioned | 2026-07-07T07:53:16Z | |
| dc.date.available | 2026-07-07T07:53:16Z | |
| dc.description | Soft Computing techniques have opened up new avenues to the forecasters of complex systems. Atmosphere is a complex system and all the atmospheric parameters carry different degrees of complexity within themselves. Endeavor of the present research is to adopt Artificial Neural Network as a Soft Computing technique to anticipate the average monsoon rainfall over India. After a rigorous study, the said Neural Net technique has been found adroit and results have been compared with those obtained through conventional techniques. | |
| dc.description | 4 pages, 2 figures, 1 table | |
| dc.identifier | https://arxiv.org/abs/nlin/0703042 | |
| dc.identifier | http://arxiv.org/abs/nlin/0703042 | |
| dc.identifier | Published in the proceedings of International Conference on IT, HIT, India, March 19-21, 2007 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/126192 | |
| dc.subject | Adaptation and Self-Organizing Systems | |
| dc.title | A Soft Computing technique in rainfall forecasting | |
| dc.type | text |