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Optirnasi Jaringan Saraf Tiruan Menggunakan Algoritme GenetH Untuk Peramalan Panjang Musim Hujan
(Himpunan Informatika Pertanian Indonesia (HIPI), 2013-10)
The focus of this research is to predict length of the rainy season in Indramayu using artificial neural networks (ANN) optimized by genetic algorithm (GA). The weights generated by the neural network is random, so the ...
Length of Rainy Season Prediction Based on Southern Oscillation Index and Dipole Mode Index Using Support Vector Regression
The location of Indonesia which is between the Pacific and Indian Ocean causes the climate to be influenced by the global condition in bath oceans. The goal of this research is to use modelling to predict the length of ...