Multiple disorder diagnosis with adaptive competitive neural networks

  title={Multiple disorder diagnosis with adaptive competitive neural networks},
  author={Sungzoon Cho and James A. Reggia},
  journal={Artificial intelligence in medicine},
  volume={5 6},
Backpropagation neural networks have repeatedly been used for diagnostic problem-solving, but have not been demonstrated to work well when multiple disorders are present. We hypothesized that letting nodes in a backpropagation neural network compete to be part of a diagnostic solution would produce better performance than the use of existing backpropagation methods. To test this hypothesis, we derived an error backpropagation learning rule that can be used with competitive units (competitive… CONTINUE READING
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