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...

Full description

Saved in:
Bibliographic Details
Main Author: Sahrani, Muhammad Naqiuddin (Author)
Format: Book
Published: 2015-07.
Subjects:
Online Access:Link Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 repouitm_40582
042 |a dc 
100 1 0 |a Sahrani, Muhammad Naqiuddin  |e author 
245 0 0 |a Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani 
260 |c 2015-07. 
500 |a https://ir.uitm.edu.my/id/eprint/40582/1/40582.pdf 
520 |a 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. 
546 |a en 
690 |a Neural networks (Computer science) 
690 |a Computer network protocols 
655 7 |a Article  |2 local 
655 7 |a NonPeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/40582/ 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/40582/  |z Link Metadata