Lie Algebra of Recurrent Neural Networks and Identifiability
Rafał Żbikowski · 1993
Lie algebra associated with recurrent neural networks is described in the context of the State Isomorphism Theorem approach to identifiability. It is shown that this leads to inconclusive results, due to conservative sufficient conditions involved, which are difficult to verify.