Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
This paper compare the performance of Artificial Neural Network with Non-Linear Auto Regressive Moving Average (NARMA) models by predicting internet traffic The ANN models that used in this paper was Non-Linear Auto Regressive (NAR) model where this model was train to predict the internet traffic Th...
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my.uitm.ir.405822024-01-30T03:29:59Z https://ir.uitm.edu.my/id/eprint/40582/ Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani Sahrani, Muhammad Naqiuddin Neural networks (Computer science) Computer network protocols This paper compare the performance of Artificial Neural Network with Non-Linear Auto Regressive Moving Average (NARMA) models by predicting internet traffic The ANN models that used in this paper was Non-Linear Auto Regressive (NAR) model where this model was train to predict the internet traffic The NARMA model result was obtained by combine the result of NAR and Moving Average (MA) models where the result of MA model obtain by predicting the residual of NAR model. The performance of both models was evaluated by using model fitting and model validation tests. NARMA models show better results in internet forecasting. 2015-07 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/40582/1/40582.pdf Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani. (2015) pp. 1-6. |
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Neural networks (Computer science) Computer network protocols Sahrani, Muhammad Naqiuddin Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
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This paper compare the performance of Artificial Neural Network with Non-Linear Auto Regressive Moving Average (NARMA) models by predicting internet traffic The ANN models that used in this paper was Non-Linear Auto Regressive (NAR) model where this model was train to predict the internet traffic The NARMA model result was obtained by combine the result of NAR and Moving Average (MA) models where the result of MA model obtain by predicting the residual of NAR model. The performance of both models was evaluated by using model fitting and model validation tests. NARMA models show better results in internet forecasting. |
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Sahrani, Muhammad Naqiuddin |
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Sahrani, Muhammad Naqiuddin |
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Sahrani, Muhammad Naqiuddin |
title |
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
title_short |
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
title_full |
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
title_fullStr |
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
title_full_unstemmed |
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani |
title_sort |
comparison between artificial neural network and non-linear auto regressive moving average (narma) models for internet traffic / muhammad naqiuddin sahrani |
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2015 |
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https://ir.uitm.edu.my/id/eprint/40582/1/40582.pdf https://ir.uitm.edu.my/id/eprint/40582/ |
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