Table 4 Configuration of AHHKELM Hyperparameters in MFPT dataset.

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

Parameter name

Value

Parameter name

Value

IAO-HHKELM’s first hidden layer neurons

90

L2 regularization factor for the ELM-AE

296.4833

IAO-HHKELM’s second hidden layer neurons

93

Penalty coefficient C for the upper-level HKELM

137.5032

IAO-HHKELM’s third hidden layer neurons

94

IAO-HHKELM’s hidden layer weights

0.1706

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