Adaptative time constants improve the prediction capability of recurrent neural networks

Jean-Philippe DrayeDavor PavisicGuy ChéronG. Libert2026-03-222026-03-22199510.1007/bf02311573https://doi.org/10.1007/bf02311573https://andeanlibrary.org/handle/123456789/53853Citaciones: 10enArtificial neural networkComputer scienceRecurrent neural networkChaoticComputational intelligenceArtificial intelligenceSet (abstract data type)Constant (computer programming)SIGNAL (programming language)Time constantAdaptative time constants improve the prediction capability of recurrent neural networksarticle