Publication Type : Journal Article
Publisher : International Journal of Pure and Applied Mathematics
Source : International Journal of Pure and Applied Mathematics , Volume 119, Number 10, p.669-678 (2018)
Url : https://acadpubl.eu/jsi/2018-119-10/articles/10a/60.pdf
Keywords : ANN, GA, Partition around medoids (PAM), Self-Organising maps(SOM)
Campus : Kochi
School : School of Arts and Sciences
Department : Computer Science
Year : 2018
Abstract : In the modern world rainfall is very difficult to predict, because of its non-linearity and complicated happening. So, in order to model and predict advance computing technologies are needed. The objective is to analyse the four-months (June, July, August, and September) of rainfall data of 30 years from 1982-2012 in Goa, India. This paper describes Feed Forward -Back Propagation (FFBP) algorithm to train the networks, and to get optimised results Genetic Algorithm (GA) is used. Promising results are obtained for GA approach than Artificial Neural Network (ANN) alone.
Cite this Research Publication : R. Arya and Maya L. Pai, “Rainfall Prediction Using an Optimised Genetic-Artificial Neural Network Model ”, International Journal of Pure and Applied Mathematics , vol. 119, pp. 669-678, 2018.