Research Article
Prediction of Bending Force in the Hot Strip Rolling Process Using Multilayer Extreme Learning Machine
Table 5
Final parameters setting of SGELM.
| Parameters of SGELM | Value |
| Number of input layer nodes | 9 | Number of hidden layer nodes | 90 | Number of output layer nodes | 1 | Activation function | Sigmoid | Population size | 10 | Selection probability | 0.7 | Crossover probability | 0.7 | Mutation probability | 0.01 | Cooling rate | 0.8 | Initial temperature | 100 | Final temperature | 1 |
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