Artificial Neural Network Training using Fireworks Algorithm in Medical Data Mining
Ram Kinkar, Nabin Kanti, Tapas Si · International Journal of Computer Applications · 2016
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.