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Prediction of all India summer monsoon rainfall using error-back-propagation neural networks

Venkatesan, C and Raskar, SD and Tambe, SS and Kulkarni, BD and Keshavamurty, RN (1997) Prediction of all India summer monsoon rainfall using error-back-propagation neural networks. Meteorology and Atmospheric Physics, 62 (3-4). pp. 225-240.

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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
Additional Information: Copyright of this article belongs to Springer
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 28 Feb 2015 04:29
Last Modified: 28 Feb 2015 04:29
URI: http://moeseprints.incois.gov.in/id/eprint/1685

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