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As the human brain consists of millions of neurons that are interconnected by synapses, a neural network is a set of connected input or output units in which each connection has a weight associated with it.
Chen et al. [4] proposed the dynamic frequency selection approach, in which each connection selects its subchannel according to the probability distribution, where the selection probability is determined by channel quality.
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Their approach first forms a subchannel assignment matrix, in which each row represents one connection and each column represents one subchannel.
Among other things, her research leads her into detailed descriptions of the curious relationship between Wasserman and Ronald Reagan, an enduring connection in which each man helped the other for many years.
It also revealed a domain-swapped architecture in which each nucleotide-binding domain receives connections from both N- and C-terminal transmembrane domains.
In [44], Hu et al. introduced a relaxed version of this notion, in which each node has more internal connections than towards each of the other communities separately; we found that 4% of the nodes (spread through 70% of the ASes) do not follow this definition, either.
Watts and Strogatz dealt only with "sparse" networks, in which each node has only a few connections compared to the total number of nodes in the system.
An extension to this study is to apply the MHED routing algorithm to non-scheduled periodic connections, in which connection and disconnection times are not known in advance.
This is one way in which the connection between terrorism and Iraq became a fixed idea.
It is point five in which a connection is established between that outcome and its cause(s).
The difference now is that she has a handful of emotional new songs in which the connection between song and subject is undeniable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com