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Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining

by Ram Kinkar Dutta, Nabin Kanti Karmakar, Tapas Si
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 1
Year of Publication: 2016
Authors: Ram Kinkar Dutta, Nabin Kanti Karmakar, Tapas Si
10.5120/ijca2016908726

Ram Kinkar Dutta, Nabin Kanti Karmakar, Tapas Si . Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining. International Journal of Computer Applications. 137, 1 ( March 2016), 1-5. DOI=10.5120/ijca2016908726

@article{ 10.5120/ijca2016908726,
author = { Ram Kinkar Dutta, Nabin Kanti Karmakar, Tapas Si },
title = { Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 1 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number1/24236-2016908726/ },
doi = { 10.5120/ijca2016908726 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:08.846990+05:30
%A Ram Kinkar Dutta
%A Nabin Kanti Karmakar
%A Tapas Si
%T Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 1
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a novel application of Fireworks Algorithm in Artificial Neural Network training. Fireworks Algorithm is a recently developed Swarm Intelligence algorithm for function optimization. Fireworks Algorithm mimics the explosion process of fireworks. In this paper, Fireworks Algorithm is applied in training of Multi-Layer Perceptron for classification task in medical data mining. The classification task is carried out on 5 well-known medical data sets from UCI machine learning repository. A comparative study has been made with classical optimization algorithm Levenberg-Marquardt Method and another Swarm Intelligence algorithm Particle Swarm Optimizer. The experimental results show that the proposed method performs better than other algorithms in classification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fireworks Algorithm Artificial Neural Network Medical Data Mining Classification

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