Improved probabilistic neural network and its performance relative to other models

Joseph Bibb Cain

doi:10.1117/12.21187

1 August 1990 Improved probabilistic neural network and its performance relative to other models

Joseph Bibb Cain

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21187
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Joseph Bibb Cain "Improved probabilistic neural network and its performance relative to other models", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21187

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