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A Survey on Ensemble Combination Schemes of Neural Network

by Varuna Tyagi, Anju Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 16
Year of Publication: 2014
Authors: Varuna Tyagi, Anju Mishra
10.5120/16679-6784

Varuna Tyagi, Anju Mishra . A Survey on Ensemble Combination Schemes of Neural Network. International Journal of Computer Applications. 95, 16 ( June 2014), 18-21. DOI=10.5120/16679-6784

@article{ 10.5120/16679-6784,
author = { Varuna Tyagi, Anju Mishra },
title = { A Survey on Ensemble Combination Schemes of Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 16 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number16/16679-6784/ },
doi = { 10.5120/16679-6784 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:35.093893+05:30
%A Varuna Tyagi
%A Anju Mishra
%T A Survey on Ensemble Combination Schemes of Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 16
%P 18-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Neural network ensembles are the most effective approach to improve the neural network system. The combination of neural networks can provide more accurate result than a single network. The simple averaging, weighted averaging, majority voting and ranking are commonly used combination strategies, and from these strategies each method has its limitations like for which application area particular is suited . This paper present a survey on different ensemble combination schemes as invented in literature.

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Index Terms

Computer Science
Information Sciences

Keywords

Survey Ensemble

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