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Trust region nonlinear optimization learning method for dynamic synapse neural networks

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2 Author(s)
Narnarvar, H.H. ; Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Berger, T.W.

We formulate the dynamic synapse neural network from the averaged activity of local population of neurons perspective. We have applied the trust region nonlinear optimization approach to train the network and show the new learning method effectiveness in comparison to the genetic algorithms by optimizing large-scale networks.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003