Exact(3)
Alternatively, the updates can be fed directly to the Gephi Streaming API to produce an interactive visualization of the evolving network.
Additionally, the updates created with fastviz fastviz can be fed directly to the Gephi Streaming API to produce an interactive visualization of the evolving network.
The model refinement in APN is carried out through a succession of local structural changes of the evolving network.
Similar(56)
This stream is a new key feature of the evolved network for 2017 and beyond.
Here, we have found that the evolved network has robustness against parameter variation in Kj→i under fixed network topology.
All the evolved network models we examined were exactly classified into three modes, sequential, simultaneous or combinatorial formation, respectively.
This gives us some idea of the fitness of the networks in the local mutational neighborhood, and thus an indication of the ruggedness of the fitness landscape close to the peak on which the evolved network sits.
The fraction of such genes with a common proportionality coefficient increased with an increase in the robustness of the evolved network.
In addition, the evolved networks show improved generalization and robustness in comparison with other techniques.
The degree distributions of the evolved networks give us no clue to the general principles by which length and number of attractors may evolve.
Surprisingly, this rapid evolution was not accompanied by changes in degree distribution; degree distribution in the evolved networks was not substantially different from that of randomly generated networks.
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