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Training Set Size for Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends

by Vusumuzi Moyo, Khulumani Sibanda
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 13
Year of Publication: 2015
Authors: Vusumuzi Moyo, Khulumani Sibanda
10.5120/19885-1902

Vusumuzi Moyo, Khulumani Sibanda . Training Set Size for Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends. International Journal of Computer Applications. 113, 13 ( March 2015), 14-19. DOI=10.5120/19885-1902

@article{ 10.5120/19885-1902,
author = { Vusumuzi Moyo, Khulumani Sibanda },
title = { Training Set Size for Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 13 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number13/19885-1902/ },
doi = { 10.5120/19885-1902 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:50.150432+05:30
%A Vusumuzi Moyo
%A Khulumani Sibanda
%T Training Set Size for Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 13
%P 14-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we empirically investigate various sizes of training sets with the aim of determining the optimum training set size for generalization ability of an ANN trained on forecasting TCP/IP network traffic trends. We found from both the simulation experiments and literature that the best training set size can be obtained by selecting training samples randomly, between the interval 5×N_W and 10×N_W in number, depending on the difficulty of the problem under consideration.

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Index Terms

Computer Science
Information Sciences

Keywords

Generalization ability Artificial Neural Networks and Training set size.

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