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Then an optimal RBF network is constructed by OLS and EDE algorithms in the network construction phase.
As shown in Figure 5, a two-dimensional (2D) binary Hopfield neural network is constructed.
In other words, the configuration of the supply chain network is constructed according to customer demands.
This network is constructed on the basis of the common using structure of buoy.
A traffic dynamical network is constructed based on both road network topology and traffic velocity data.
Once the network is constructed, the differential phase observations at each arc are calculated.
Once the network is constructed, global and local properties can be evaluated and discussed.
The network is constructed with fixed-size switch elements regardless of the size of the network.
An on-line feedforward neural network is constructed to account for the uncertainties.
A novel abductive network is constructed to predict creep rupture life.
Once consistency of preferences is guaranteed, a structural equivalence preference similarity network is constructed.
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