A new dynamical neural network architecture with hierarchical subspaces and forward-backward internetworks allows state variables to relax in warped spaces, forming mappings from periodic inputs and implying an input-output certainty/uncertainty relation.
[26]Kosko, B.Adaptive bidirectional associative memories.Applied Optics 26, 23 (1987), 4947–4960
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Relaxing in Warped Spaces: Generalized Hierarchical and Modular Dynamical Neural Network
A new dynamical neural network architecture with hierarchical subspaces and forward-backward internetworks allows state variables to relax in warped spaces, forming mappings from periodic inputs and implying an input-output certainty/uncertainty relation.