Related content

Elements for a general memory structure: properties of recurrent neural networks used to form situation models

By Makarov Valeri  

Biological Cybernetics, Vol. 98, Iss. 5, 2008-05 ,pp. : 371-395

Springer Publishing Company

Access to resources Recommend Favorite

Modelling memory functions with recurrent neural networks consisting of input compensation units: I. Static situations

By Kühn Simone   Beyn Wolf-Jürgen   Cruse Holk  

Biological Cybernetics, Vol. 96, Iss. 5, 2007-05 ,pp. : 455-470

Springer Publishing Company

Access to resources Recommend Favorite

Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations

By Kühn Simone   Cruse Holk  

Biological Cybernetics, Vol. 96, Iss. 5, 2007-05 ,pp. : 471-486

Springer Publishing Company

Access to resources Recommend Favorite

Robust Nonlinear Autoregressive Moving Average Model Parameter Estimation Using Stochastic Recurrent Artificial Neural Networks

By Chon K. H.  

Annals of Biomedical Engineering, Vol. 27, Iss. 4, 1999-07 ,pp. : 538-547

Springer Publishing Company

Access to resources Recommend Favorite

Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets

By Volpato Viola   Alshomrani Badr   Pollastri Gianluca  

International Journal of Molecular Sciences, Vol. 16, Iss. 8, 2015-08 ,pp. : 19868-19885

MDPI

Access to resources Recommend Favorite