Learnt Topology Gating Artificial Neural Networks

  title={Learnt Topology Gating Artificial Neural Networks},
  author={Petr Kadlec and Bogdan Gabrys},
  journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)},
This work combines several established regression and meta-learning techniques to give a holistic regression model and presents the proposed learnt topology gating artificial neural networks (LTGANN) model in the context of a general architecture previously published by the authors. The applied regression techniques are artificial neural networks, which are on one hand used as local experts for the regression modelling and on the other hand as gating networks. The role of the gating networks is… CONTINUE READING

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