We describe a methodology to examine bipartite relational data structures as exemplified in networks of corporate interlocking. These structures can be represented as bipartite gr...
This paper analyzes the fault tolerance of a class of double-loop networks referred to as forwardloop backward-hop FLBH, in which each node is connected via unidirectional links t...
In this paper, we will build a fault-tolerant network using a Multiple Care-of Addresses registration implementation on NEPL (NEMO Platform for Linux) for the GNU/Linux Operating S...
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 ...