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Abstract
The accurate long-range forecast of southwest rainfall can have manifold benefits for the country, from disaster mitigation and town planning to crop planning and power generation. In this paper, the rainfall has been modeled using artificial neural network (ANN) with different network configurations. Performance of these networks are compared with some results found in the literature. The networks have also been tested for the data outside the range of the trained data and compared with known results. The present network is found to be better in term of predictions than the previous results by others. Southwest monsoon rainfall over India for 6 years in advance has been predicted.
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Acknowledgments
The authors would like to thank Director, C.B.R.I., Roorkee for giving us permission to publish this paper. The authors also wish to thank the anonymous reviewer for the valuable suggestions.
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B.P.P.P. Division, Central Building Research Institute, Roorkee, 247 667, India
Snehashish Chakraverty & Pallavi Gupta
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Correspondence toSnehashish Chakraverty.
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Chakraverty, S., Gupta, P. Comparison of neural network configurations in the long-range forecast of southwest monsoon rainfall over India .Neural Comput & Applic17, 187–192 (2008). https://doi.org/10.1007/s00521-007-0093-y
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