Trust region nonlinear optimization learning method for dynamic synapse neural networks
Hassan H. Namarvar, Theodore W. Berger · 2004
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.