Neural network explanation using inversion

@article{Saad2007NeuralNE,
  title={Neural network explanation using inversion},
  author={Emad W. Saad and Donald C. Wunsch},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2007},
  volume={20 1},
  pages={78-93}
}
An important drawback of many artificial neural networks (ANN) is their lack of explanation capability [Andrews, R., Diederich, J., & Tickle, A. B. (1996). A survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems, 8, 373-389]. This paper starts with a survey of algorithms which attempt to explain the ANN output. We then present HYPINV, a new explanation algorithm which relies on network inversion; i.e. calculating the ANN input… CONTINUE READING
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