Improved probabilistic neural network and its performance relative to other models
Joseph B. Cain · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
This paper presents a new extension of the probabilistic neural network which utilizes one additional training pass to obtain significantly improved performance relative to the conventional probabilistic neural network. In addition it automatically sets certain algorithm parameters. The method substantially outperforms K-nearest neighbor techniques for the same number ofnodes. and it also offers performance competitive with LVQ2 which requires much longer training periods. 1.