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Another program translates the basic circuit layout into a multilayer network of electronic elements and wires.
The role of layers in multilayer network is different.
Neurons can be combined to form a multilayer network.
Multilayer network design has received significant attention in current literature.
Another multilayer network analysis focuses on estimating the similarities between each layer and the whole structure.
The multilayer network to obtain the bottleneck features is shown in Figure 3.
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Second, we move from using tripartite networks to modeling our data with multilayer networks.
More generally, multilayer networks have been studied extensively in the Network Science literature.
They have been formally defined in [25] which also includes a discussion of related topics such as multilayer networks, multilayer node-aligned networks, multiplex networks, and hypergraphs.
A nonlinear activation function is applied to h just as for standard multilayer networks.
Most multilayer networks are trained using the back propagation (BP) algorithm for forecasting.
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