Random iterated neural networks: Asymptotic behavior


The random iterated neural networks, a class of stochastic discrete recurrent neural networks, are introduced. These networks implement random discrete dynamical systems that have very special asymptotic properties, compact global attractor and an ergodic measure supported on the attractor.

Publication Title

Intelligent Engineering Systems Through Artificial Neural Networks

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