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Training of Multilayer Perceptrons with Improved Particle Swarm Optimization for the Heart Diseases Prediction
2017
International Journal of Swarm Intelligence and Evolutionary Computation
Inte rn a ti o na l Jo urnal of S w a r m In tellig enc e an d E v ol utionary C om p ut at ion Abstract The study of Heart rate variability is recently gained momentum for an estimation of heart health. This paper suggests a new approach for enhancement of the prediction accuracy of Multi-Layer Perceptrons (MLP) neural network using improved Particle Swarm Optimization (IPSO) technique. The IPSO computes the weights and biases of MLP for the more accurate prediction of the cardiac arrhythmia
doi:10.4172/2090-4908.1000156
fatcat:mpt46fqek5cxvadlybxewioz4u