Abstract--This paper traces the development of neuralnetwork (NN)-based feedback controllers that are derived from the principle of adaptive/approximate dynamic programming (ADP) a...
In this paper, our memory architecture exploration methodology and CAD techniques for network protocol applications are presented. Prototype tools have been implemented, and appli...
Peter Slock, Sven Wuytack, Francky Catthoor, Gjalt...
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to ...
Felix Streichert, Christian Spieth, Holger Ulmer, ...
This paper presents several results on dynamic OFDMA systems. It addresses especially the algorithmic complexity involved with several resource allocation approaches, sub-optimal h...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...