Research Article

Parameter Optimization on the Three-Parameter Whitenization Grey Model and Its Application in Simulation and Prediction of Gross Enrollment Rate of Higher Education in China

Table 1

Simulation and prediction results of different models on China’s higher education gross enrollment rate.

Serial numberTWGM(1,1|0.5,1)TWGM(1,1|0.5,r∗)TWGM()TWGM()

Simulation data
k = 23.53.1410.21883.1310.67253.1510.10193.1011.5502
k = 33.94.043.50784.064.16204.043.67834.053.7288
k = 454.970.62785.000.03114.980.44144.980.4818
k = 565.941.01135.960.61185.950.80975.931.1729
k = 67.26.953.46456.963.28066.973.25616.923.9439
k = 78.38.003.56618.003.56418.023.34887.944.3312
k = 89.19.100.01599.090.13249.120.24889.011.0183
k = 99.810.244.537810.224.269210.274.787710.123.2693
k = 1010.511.448.911311.408.558811.469.177411.287.4608
k = 1112.512.681.411112.631.056212.711.663412.500.0000
k = 1213.313.975.029313.924.674314.005.294513.773.5632
k = 131515.322.102415.271.806315.352.363715.110.7258
k = 141716.721.658616.681.863416.761.404016.512.8898
k = 151918.184.319618.164.410218.234.069417.985.3818
k = 162119.706.183219.716.137619.755.935719.527.0515
k = 172221.293.239421.333.026421.342.982121.143.9173
k = 182322.940.263923.040.153323.000.003222.840.7002
k = 1923.324.665.838124.826.517024.736.123424.635.6917

Forecast data
k = 2024.226.459.310326.6910.281626.529.606826.509.5236
k = 2126.528.326.870828.658.108828.407.162328.487.4706
k = 2226.930.2712.514630.7114.146030.3512.823130.5613.5932
k = 233032.297.644332.869.541532.387.940932.749.1365
k = 2434.534.400.275935.131.813134.500.000035.041.5616
k = 2537.536.602.388137.500.000036.712.116937.460.1167
k = 264038.902.760139.990.021039.002.488940.000.0000
k = 2742.741.283.318342.610.219541.403.047642.680.0541
k = 2845.743.774.223445.350.765043.893.954345.490.4502
k = 2948.146.363.616348.230.271446.493.344648.460.7477
k = 3051.649.064.923751.250.671249.204.654851.580.0365