The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
A number of Integer Linear Program (ILP) formulations for both static and dynamic lightpath allocation have been proposed, for the design of survivable WDM networks. However, such ...
Emerging lambda-Grid systems employ wavelength-routed network with optical switches to enable dynamic on-demand lightpaths with multi-gigabit rate bandwidth to interconnect shared...