Table 5 Configuration of AHHKELM Hyperparameters in JNU 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

58

L2 regularization factor for the ELM-AE

303.8464

IAO-HHKELM’s second hidden layer neurons

90

Penalty coefficient C for the upper-level HKELM

264.3746

IAO-HHKELM’s third hidden layer neurons

89

IAO-HHKELM’s hidden layer weights

0.6676

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