Research Article
Achievement Prediction of English Majors Based on Analytic Hierarchy Process and Genetic Algorithm
Table 3
Parameter table of genetic algorithm improving BP neural network model.
| | Parameter category | Parameter value preset |
| 1 | Individual length of genetic algorithm | Lenchrom = 10 | 2 | Number of genetic evolution | Maxgen = 90 | 3 | Population size | Sizepop = 15 | 4 | Crossover rate | Pcross = 0.5 | 5 | Variation rate | pmutation = 0.1 | 6 | Maximum number of iterations of neural network | net.trainParam.epochs = 90 | 7 | Training and learning rate of neural network | net.trainParam.lr = 0.2 | 8 | Allowable error range of neural network | net.trainParam.goal = 0.0005 |
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