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Comparing performance of Backpropagation and RBF neural network models for predicting daily network traffic
(2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI), 2015-03-26)
The predicting daily network traffic usage is a very important issue in the service activities of the university. This paper present techniques based on the development of backpropagation (BP) and radial basis function ...
Rainfall Monthly Prediction Based on Artificial Neural Network: A Case Study in Tenggarong Station, East Kalimantan - Indonesia
(The International Conference on Computer Science and Computational Intelligence (ICCSCI 2015) - Procedia Computer Science 59, 2015-08-30)
The accuracy of forecasting rainfall is very important due to the current world climate change. Afterwards, to get an accurate
forecasting of rainfall, this paper applied an Artificial Neural Network (ANN) with the ...