Venkatesan, C. ; Raskar, S. D. ; Tambe, S. S. ; Kulkarni, B. D. ; Keshavamurty, R. N. (1997) Prediction of all India summer monsoon rainfall using error-back-propagation neural networks Meteorology and Atmospheric Physics, 62 (3-4). pp. 225-240. ISSN 0177-7971
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Official URL: http://www.springerlink.com/content/r1000754760438...
Related URL: http://dx.doi.org/10.1007/BF01029704
Abstract
In this paper, multilayered feedforward neural networks trained with the error-back-propagation (EBP) algorithm have been employed for predicting the seasonal monsoon rainfall over India. Three network models that use, respectively, 2, 3 and 10 input parameters which are known to significantly influence the Indian summer monsoon rainfall (ISMR) have been constructed and optimized. The results obtained thereby are rigorously compared with those from the statistical models. The predictions of network models indicate that they can serve as a potent tool for ISMR prediction.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer-Verlag. |
| ID Code: | 17189 |
| Deposited On: | 16 Nov 2010 08:15 |
| Last Modified: | 06 Jun 2011 09:32 |
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