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