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Time Series Prediction Using Radial Basis Function Neural Network
(International Journal of Electrical and Computer Engineering (IJECE), 2015-08-05)
This paper presents an approach for predicting daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) method. The data is gained from 21-24 June 2013 (192 samples ...
An Interactive Mobile Augmented Reality for Tourism Objects at Purbalingga District
(TELKOMNIKA Indonesian Journal of Electrical Engineering, 2015-12-02)
This paper presents the development of an interactive mobile Augmented Reality (AR) for tourism promotion with eXtreme programming (XP) at Purbalingga district, Central Java that has many places of tourist attractions such ...
A Performance Comparison of Statistical and Machine Learning Techniques in Learning Time Series Data
(Advanced Science Letters - ASP, 2015-10-03)
The task of analyzing and forecasting time-series data is very crucial task as this Time Series Analysis (TSA) task is used for many applications such as Economic Forecasting, Sales Forecasting, Budgetary Analysis, Stock ...
Comparing of ARIMA and RBFNN for short-term forecasting
(International Journal of Advances in Intelligent Informatics (IJAIN), 2015)
Based on a combination of an autoregressive integrated moving
average (ARIMA) and a radial basis function neural network
(RBFNN), a time-series forecasting model is proposed. The proposed
model has examined using simulated ...