Afan Galih Salman

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Weather forecasting has gained attention many researchers from various research communities due to its effect to the global human life. The emerging deep learning techniques in the last decade coupled with the wide availability of massive weather observation data and the advent of information and computer technology have motivated many researches to explore(More)
This paper presents a recurrent optimized heuristic Artificial Neural Network (ANN) uses Recurrent Elman Gradient Descent Adaptive Learning Rate and Momentum method with various parameter values. The values is approached by using El-Nino Southern Oscillation (ENSO) variable, which are Southern Oscillation Index (SOI), Wind, Outgoing Long Wave Radiation(More)
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