Research Article
Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm
Table 6
Optimal parameter configuration for the GWO-ELM model.
| Algorithm | Parameters | Configuration |
| GWO | Number of iterations | 3150 | Population size | 67 | Penalty coefficient [i, j] | [20, 80] |
| ELM | Number of neurons (input layer) | 21 | Number of neurons (output layer) | 3 | Number of neurons (hidden layer) | 23 | Activation functions | Sigmoid |
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