Table 2 Configuration of SDAE-AHHKELM Parameters.

From: An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis

Parameter name

Value

Parameter name

Value

Count of input layer neurons in the SDAE

2560

Number of batches for the SDAE

22

SDAE’s first hidden layer neurons

50

Activation function of the SDAE

’sigm’

SDAE’s second hidden layer neurons

30

Batch size for the SDAE

64

Learning rate for the SDAE

0.01

Maximum number of iterations for the IAO-HHKELM

30

Population numbers of the IAO-HHKELM

10

Activation function of the IAO-HHKELM

’sigm’

Count of neurons in the IAO-HHKELM’s output layer

10