The explosive growth in the use of mobile devices coupled with usersā desires for real-time applications has provided new challenges in the design of protocols for mobile ad hoc...
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliļ...
We present a software package for the simulation of very large neuronal networks on parallel computers. The package can be run on any system with an implementation of the Message ...
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...