Genome-enabled prediction using probabilistic neural network classifiers

Non-parametric methods have been shown to be effective in genome-enabled prediction, in particular, the multi-layer perceptron (MLP) and the radial basis function neural network (RBFNN). In this study, we evaluated and compared the performance of MLP classifier versus the probabilistic neural network (PNN) classifier, which is a special case of RBFNN, to...