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Advances, Systems and Applications

Table 1 Recurrent neural network model parameter settings

From: Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing

Training parameters

Parameter input

The number of hidden neurons in the first layer of network

10

The number of hidden neurons in the second layer network

10

The number of hidden neurons in the third layer network

10

Learning Rate

0.0006

Activation Function

Sigmod OR tanh

Iterations

100