• Corpus ID: 17337294

Neural Networks vs. Gaussian Discriminant Analysis

@inproceedings{Paik1997NeuralNV,
  title={Neural Networks vs. Gaussian Discriminant Analysis},
  author={Chul Hwa Paik and Gregory J. Stumpf},
  year={1997}
}
A classiication task is chosen to compare the performance of a feed-forward neural network with that of a gaussian discriminant analysis, both in a Bayesian framework. The data set is taken from the National Severe Storms Laboratory's Mesocyclone Detection Algorithm, and the two classes of interest consist of circulations that are tor-nadic and those that are not. Two measures of performance and two methods of classiication are considered. It is shown that a neural network whose outputs have… 
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A neural network is developed to diagnose which circulations detected by the National Severe Storms Laboratory’s Mesocyclone Detection Algorithm yield damaging wind, and it is found that a neural network with two hidden nodes outperforms a Neural network with no hidden nodes when performance is gauged with any of the 14 scalar measures.
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