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Advanced Modeling and Simulation in Engineering Sciences
Fig. 3 | Advanced Modeling and Simulation in Engineering Sciences

Fig. 3

From: Fully convolutional networks for structural health monitoring through multivariate time series classification

Fig. 3

FCN architecture in the case of two data types. Here \(N^1_0\) and \(N^2_0\) represent the number of input channels (possibly different) of the two NN branches; \(N^1\) and \(N^2\) represent the number of filters adopted. For sake of clarity, the dimensionality of the building blocks has been enhanced: a three-dimensional parallelepiped is used to depict the two-dimensional output of each convolutional layer; a two-dimensional rectangle is used to depict the one-dimensional output of the global pooling layer and of the softmax layer

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