Radial Basis Function Based Probabilistic Neural Network in Arrhythmia Classification

An arrhythmia detection algorithm using radial basis function (RBF) based probabilistic neural network (PNN) was proposed. RBFNN has been widely applied in pattern recognition, but often with BP algorithm, spoiling its performance. This article discussed the configuration, learning and running of the network, compared it with BP algorithm based RBF and tested its tolerance to errors. The results of the experiments show that it avoids the problem of local minimum of BP algorithm and has capability in noise tolerance, while raises the learning rate. It has an efficient application in arrhythmia classification.