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Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining
| 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
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.
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