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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 4
First page : (589) Last page : (599)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8250

Rainfall Forecasting using Artificial Neural Networks (ANNs): A Comprehensive Literature Review

Lakshminarayana S.V.* , Singh P. K., Mittal H.K., Mahesh Kothari., Yadav K. K. and Deepak Sharma
College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology,
Udaipur, Rajasthan, India
*Corresponding Author E-mail: lachhi0013@gmail.com
Received: 20.06.2020  |  Revised: 27.07.2020   |  Accepted: 6.08.2020 

 ABSTRACT

Weather forecasting is important for people. It helps to make more informed daily decisions and to keep out of danger. Accurate weather forecasting has been one of the most challenging problems around the world. Unlike traditional methods, modern weather forecasting involves a combination of computer models, observation and knowledge of trends and patterns. To recognize the application of Artificial Neural Networks (ANNs) in weather forecasting, especially in rainfall forecasts a comprehensive literature review from 1997 to 2019 is done and presented in this paper. It is observed that architectures of ANN such as BPN, MLP, and FFNN is best established to be forecast chaotic behaviour and have efficient enough to forecast rainfall.

Keywords: Artificial Neural Networks (ANN), BPN, MLP, FFNN, Rainfall forecasting

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Lakshminarayana, S.V., Singh, P.K., Mittal, H.K., Kothari, M., Yadav, K.K., & Sharma, D. (2020). Rainfall Forecasting using Artificial Neural Networks (ANNs): A Comprehensive Literature Review, Ind. J. Pure App. Biosci. 8(4), 589-599. doi: http://dx.doi.org/10.18782/2582-2845.8250