8ylas.txt

BP神经网络,可以进行任意发酵过程建模,包括初始化,训练与测试,

0, 6.63, 100, 0, 4.89, 0, 0, 0
4, 6.63, 99, 0.05, 4.18, 0, 0, 1
8, 6.63, 81.7, 0.183, 4.163, 0, 0, 17.3
12, 6.63, 64.3, 0.317, 4.147, 0, 0, 17.4
16, 6.63, 47, 0.45, 4.13, 0, 0, 17.3
20, 6.69, 5, 1.16, 4.03, 0, 0.06, 42
24, 6.19, 2, 1.29, 3.85, 0, -0.5, 3
28, 5.31, 0, 1.46, 3.83, 0, -0.88, 2
32, 4.957, 0, 1.303, 3.83, 0, -0.353, 0
36, 4.25, 0, 0.99, 3.83, 0, -0.707, 0
40, 4.31, 5, 0.75, 3.8, 0.18, -0.647, -5
44, 4.31, 2, 0.31, 3.78, 0.36, 0, 3
48, 4.38, 0, 1.25, 3.75, 0.31, 0.07, 2
52, 4.44, 0, 1.74, 3.7, 0.26, 0.06, 0
56, 4.47, 0, 1.78, 3.69, 0.24, 0.03, 0
60, 4.52, 0, 1.93, 3.67, 0.21, 0.05, 0
64, 4.56, 0, 2.08, 3.65, 0.18, 0.04, 0
68, 4.69, 3, 2.34, 3.58, 0.18, 0.13, -3
72, 4.81, 2, 2.6, 3.5, 0.15, 0.12, 1
0, 6.2, 100, 0, 4.92, 0.23, -0.01, 0
4, 6.19, 100, 0, 4.89, 0.35, -0.01, 0
8, 6.19, 97, 0, 4.82, 0.65, 0, 3
12, 6.13, 97, 0, 4.75, 0.82, -0.06, 0
16, 6.22, 87, 0.17, 4.64, 0.865, 0.09, 10
20, 6.31, 77, 0.34, 4.53, 0.91, 0.09, 10
24, 5.13, 65, 1.25, 4.15, 0.91, -1.18, 12
28, 3, 79, 1.89, 4.1, 0.93, -2.13, -14
32, 2.69, 82, 2.06, 4, 0.94, -0.31, -3
36, 2.63, 87, 2.15, 4, 0.96, -0.06, -5
40, 2.595, 86, 2.195, 4, 0.985, -0.095, 1
44, 2.56, 85, 2.24, 4, 1.01, -0.035, 1
48, 2.5, 81, 1.81, 3.85, 1.03, -0.06, 4
52, 2.5, 76, 2.26, 3.8, 1.1, 0, 5
56, 2.31, 55, 1.92, 3.75, 1.16, -0.19, 21
60, 2.27, 39.67, 1.947, 3.47, 1.213, -0.04, 15.33
64, 2.23, 24.33, 1.974, 3.18, 1.267, -0.04, 15.34
68, 2.19, 9, 2, 2.9, 1.32, -0.04, 15.33
72, 2.13, 7, 2.48, 2.85, 1.48, -0.06, 2
0, 6.7, 100, 0.77, 4.89, 0, -0.035, 0
4, 6.665, 100, 0.77, 4.57, 0, -0.035, 0
8, 6.63, 100, 0.77, 4.25, 0, -0.035, 0
12, 6.63, 96, 0.88, 3.9, 0.34, 0, 4
16, 6.63, 85, 1.16, 3.85, 0.45, 0, 11
20, 6.56, 6.9, 2.6, 3.87, 0.47, -0.07, 78.1
24, 6.19, 64, 2.55, 3.7, 0.53, -0.37, -57.1
28, 4.69, 75.5, 2.625, 3.66, 0.61, -1.5, -11.5
32, 3.19, 87, 2.7, 3.62, 0.69, -1.5, -11.5
36, 3, 88, 2.79, 3.55, 0.75, -0.19, -1
40, 3, 82, 3.17, 3.45, 0.75, -0.19, 6
44, 3, 77, 3.09, 3.3, 0.84, 0, 5
48, 3, 64, 2.95, 3.25, 0.89, 0, 13
52, 3, 59.5, 3.03, 3.19, 0.815, 0, 4.5
56, 3, 55, 3.11, 3.13, 0.74, 0, 4.5
60, 3, 47, 3.64, 2.65, 0.65, 0, 8
64, 3, 40, 3.81, 2.1, 0.65, 0, 7
68, 3, 5, 4.61, 1.95, 0.64, 0, 35
72, 3.09, 4, 3.52, 1.95, 0.63, 0.09, 1
0, 6.63, 100, 0.34, 4.94, 0, -0.067, 0
4, 6.563, 95.5, 0.49, 4.835, 0.12, -0.067, 4.5
8, 6.5, 91, 0.64, 4.73, 0.24, -0.063, 4.5
12, 6.63, 87, 0.6, 4.31, 0.57, 0.13, 4
16, 6.38, 84, 1.48, 4.05, 0.59, -0.25, 3
20, 5.25, 86, 1.65, 3.95, 0.85, -1.13, -2
24, 4, 75, 2.59, 3.7, 0.9, -1.25, 11
28, 4.03, 52, 4.065, 3.565, 0.97, 0.03, 23
32, 4.06, 29, 5.54, 3.43, 1.04, 0.03, 23
36, 4, 16, 4.78, 2.85, 1.17, -0.06, 13
40, 4.06, 12, 7.18, 2.55, 1.54, 0, 4
44, 4, 6, 8.62, 1.85, 1.83, -0.06, 6
48, 4.06, 17, 8.5, 1.83, 1.94, 0.06, -11
52, 4.06, 16, 8.92, 1.39, 2.125, 0, 1
56, 4.06, 15, 9.33, 0.95, 2.31, 0, 1
60, 4, 15, 8.17, 0.68, 2.45, -0.06, 0
64, 4, 28, 7.96, 0.4, 2.9, 0, -13
68, 4, 21, 7.65, 0.2, 2.95, 0, 7
72, 4, 20, 7.42, 0.05, 2.94, 0, 1
0, 6.69, 100, 0, 4.9, 0, 0.06, 0
4, 6.75, 100, 0.04, 4.81, 0.11, 0.06, 0
8, 6.75, 100, 1.27, 4.25, 0.28, 0, 0
12, 6.75, 98, 1.51, 4.08, 0.31, 0, 2
16, 6.73, 88.3, 1.447, 3.87, 0.323, -0.02, 9.7
20, 6.71, 78.7, 1.383, 3.66, 0.337, -0.02, 9.6
24, 6.69, 69, 1.32, 3.45, 0.35, -0.02, 9.7
28, 5.25, 66, 1.49, 3.3, 0.43, -1.44, 3
32, 5.1875, 65, 1.6225, 3.175, 0.505, -0.0625, 1
36, 5.125, 64, 1.755, 3.05, 0.58, -0.0625, 1
40, 5.0625, 63, 1.8875, 2.925, 0.655, -0.125, 1
44, 5, 62, 2.02, 2.8, 0.73, -0.0625, 1
48, 5, 69, 2.98, 2.6, 1.09, 0, -7
52, 5, 51, 4.23, 2.45, 1.29, 0, 18
56, 5, 33, 3.95, 2.3, 1.52, 0, 18
60, 5, 24, 5.82, 1.85, 1.54, 0, 9
64, 5, 14.5, 7.53, 1.55, 1.575, 0, 9.5
68, 5, 5, 8.24, 1.25, 1.61, 0, 9.5
72, 5, 9, 8.9, 1, 1.42, 0, -4