Sentence examples for multilayer network is from inspiring English sources

The role of layers in multilayer network is different.

Multilayer network is a structure commonly used to describe and model the complex interaction between sets of entities/nodes.

As this represents the general case of online social networks, members need not be present at all layers and the multilayer network is not limited to two layers.

The MCGC of a multilayer network is the largest component that remains after the random failure propagates back and forth in the different layers.

Most multilayer networks are trained using the back propagation (BP) algorithm for forecasting.

Multilayer networks are networks in which the same set of nodes can connect in different layers, which represent different types of connections [15 17].

The Recursive Deterministic Perceptron (RDP) feedforward multilayer neural network is a generalization of the single layer perceptron topology (SLPT).

In our coding scheme, the multilayer perceptron network is used to improve the accuracy of side-match prediction by utilizing the property of the neural network nonlinear prediction.

This section describes the neural network-based validator, shown in Figure 2. A feed-forward multilayer neural network is exploited to evaluate the presence of pedestrians in the bounding boxes detected by previous stages.

Concerning the neural network-based validator, a feed-forward multilayer neural network is exploited to evaluate the presence of pedestrians in the bounding boxes detected by previous stages of the tetra-vision system.

The multilayer perception neural network is developed based on logsig, tansig and purelin transfer functions.