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A robustness measure to evaluate robustness strength of a network was proposed.
The strength of a network of particles in compression is quantified as a compressive yield stress or modulus, Py.
This can be realized by using a learning algorithm to associate the "predictiveness strength" of a network with the assessment of the accuracy of the learning algorithm trained on the network itself.
The diversity and strength of a network are determined by the number of different interventions and comparisons of interventions that are available, how represented they are in the network, and how much evidence they carry.
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On the contrary, one of the strengths of a network approach is the ability to identify and analyze, not hide, power within networks.
Buying the Devils is crucial to a YankeeNets plan to build an arena in downtown Newark and to the year-round strength of a cable network that would eventually carry Yankees, Nets and Devils games.
The strength of a neural network lies in its connections.
The critical fact here is the strength of a local network.
Furthermore, due to the capability in combining linguistic power of a fuzzy system with numerical strength of a neural network, it is very useful in the modeling of processes such as hydrologic reservoir management and suspended sediment load estimation (Nayak et al. 2004, Kişi 2009).
Primary findings included increased connectivity strength of a paralimbic network involving the dorsal anterior cingulate and anterior insula cortices with subjects' increasing sadness and decreased functional connectivity of the 'default mode network'.
Carissa Carter, director of Teaching and Learning at Stanford d.school, said, "The strength of any network is derived from innovation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com