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- W2144171711 abstract "A new method of construction of neural nets is presented, based on a generalization of potential function classification. The construction is direct and much simpler computationally than backpropagation training. The method has demonstrated superior classification performance and more reliable indication of the confidence of classification for complex classes, compared to backpropagation training, Specht's probabilistic neural network, nearest neighbor, and simple Gaussian parametric classifiers. An example of classification of vehicle vibration spectra is presented." @default.
- W2144171711 created "2016-06-24" @default.
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- W2144171711 date "2002-12-24" @default.
- W2144171711 modified "2023-09-26" @default.
- W2144171711 title "Generalized potential function neural net classification" @default.
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- W2144171711 doi "https://doi.org/10.1109/icnn.1996.549075" @default.
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