Research Article
Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network
Table 2
Parameters of the QPSO-ANN algorithm.
| QPSO | Population size | 80 | Max iterations | 300 | Contraction-expansion coefficient | 0.5 |
| ANN | Number of input neurons | 4 | Number of output neurons | 1 | Transfer function in hidden layer | Tansig | Transfer function in output layer | Purelin | Learning rate | 0.01 | Training times | 300 |
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