In this paper, we suggest a framework that allows for the simulation-based performance assessment of algorithms for cooperative transportation planning. Therefore, we consider a c...
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
In this note we present and discuss results of experiments comparing the performance of six neural network architectures (back propagation, recurrent network with dampened feedbac...
Marcin Paprzycki, Rick Niess, Jason Thomas, Lenny ...
—Wireless mesh networks (WMNs) promise to extend high-speed wireless connectivity beyond what is possible with the current WiFi-based infrastructure. However, their unique archit...