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Table 7 Model structure of different depths

From: Attention based multi-component spatiotemporal cross-domain neural network model for wireless cellular network traffic prediction

Depth

Structure of the model

1

input→Conv-GRU layer→attention layer→DenseNet layer→output

2

input→Conv-GRU layer→Conv-GRU layer→attention layer→DenseNet layer→output

3

input→Conv-GRU layer→Conv-GRU layer→Conv-GRU layer→attention layer→DenseNet layer→output

4

input→Conv-GRU layer→Conv-GRU layer→Conv-GRU layer→Conv-GRU layer→attention layer→DenseNet layer→output

5

input→Conv-GRU layer→Conv-GRU layer→Conv-GRU layer→Conv-GRU layerr→Conv-GRU layer r→attention layer→DenseNet layer→output