wang.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,

0,6.423,16.3
0.5,6.331,18.2
1,6.28, 21.5
1.5,6.28, 22.8
2,6.279, 24
2.5,6.225, 25.2
3,6.116, 26
3.5,5.986, 28.7
4,5.839, 33
4.5,5.576, 38.6
5,5.425, 43
5.5,5.275, 47
6,5.16, 50
6.5,5.101, 53
7,5.021, 56
0, 6.431,16.7
0.5, 6.333, 18.9
1, 6.284, 24
1.5, 6.26, 24.5
2, 6.222, 25
2.5, 6.14, 25.6
3, 6.055, 26
3.5, 5.91, 28.9	
4, 5.821, 32
4.5, 5.667, 35
5, 5.454, 42
5.5, 5.319, 51
6, 5.191, 56
6.5, 5.029, 64
7, 4.881, 72.5
0, 6.435, 16.2
0.5, 6.334, 17.9
1, 6.283, 21.8	
1.5, 6.26, 22.7
2, 6.257, 23
2.5, 6.254, 23.5	
3,6.253, 24
3.5, 6.2, 27
4, 6.03, 30
4.5, 5.789, 32
5, 5.49, 43.7
5.5, 5.25, 51.8
6, 5.1, 57.4
6.5, 4.94, 61.5
7, 4.875, 67
0, 6.423, 16
0.5, 6.333, 18
1, 6.227, 21
1.5, 6.22, 23
2, 6.196, 25
2.5,	6.08, 26.7
3, 5.95, 28
3.5, 5.82, 30
4, 5.65, 34
4.5, 5.33, 45
5, 5.121, 58
5.5, 5.017, 67.7
6, 4.98, 75.3
6.5, 4.85, 81
7, 4.767, 87
0, 6.41, 16.2
0.5, 6.38, 17.8	
1, 6.361, 21
1.5, 6.34, 22.5
2, 6.321, 23
2.5,	6.31, 23.5
3, 6.293, 24
3.5, 6.22, 25
4, 6.169, 26
4.5, 6.08, 28.7
5, 5.989, 30.6
5.5, 5.917, 33.6
6, 5.78, 38.7
6.5, 5.622, 42.5
7, 5.504, 45.9
0, 6.42, 16.5
0.5,	6.35, 18
1, 6.314, 21
1.5,	6.32, 22
2, 6.328, 23
2.5,	6.324, 24.8
3, 6.217, 25.5	
3.5, 6.17, 27.3
4, 6.074, 29
4.5, 5.969, 31 
5, 5.839, 33
5.5, 5.725, 36 
6, 5.571, 41.3
6.5, 5.406, 46
7, 5.16, 54
0, 6.4,16.7
0.5, 6.32, 20.2
1, 6.265, 23
1.5,6.24, 24
2, 6.237, 26
2.5, 6.22, 27
3,6.116, 28
3.5, 6.05, 31.1
4, 5.931, 32.5
4.5, 5.751, 34.9
5, 5.629, 38
5.5, 5.521, 41.5
6, 5.479, 44
6.5, 5.362, 46.7
7, 5.22, 50
0, 6.39, 16.3	
0.5, 6.3, 18.4
1, 6.267, 24
1.5,	6.27, 24.5
2, 6.287, 25
2.5, 6.25, 27
3, 6.059, 29
3.5, 6, 31.1
4, 5.911, 31
4.5, 5.729,38
5, 5.541, 41
5.5, 5.3, 45
6, 5.24, 46.3
6.5, 5.11,47.8
7, 5, 49.7
0, 6.4, 16.4
0.5,6.32,17.9
1,6.223,24
1.5,6.2,27
2, 6.164,29
2.5, 6.14, 31.2
3, 5.987, 32
3.5, 5.88, 32.5
4, 5.76,33
4.5, 5.521, 38
5, 5.35, 44
5.5, 5.2, 50
6, 5.091, 56
6.5, 4.89, 62
7, 4.76,70
0, 6.41, 16.3
0.5, 6.27, 23
1, 6.195, 27
1.5, 6.17, 27.5
2, 6.159, 28
2.5, 6.065, 29.1
3, 5.929, 31
3.5, 5.823, 33
4, 5.749, 36
4.5, 5.598, 37
5, 5.483, 42
5.5, 5.416, 44
6, 5.295, 49
6.5, 5.198, 53
7, 5.143, 57
0, 6.431, 16.7
0.5, 6.227, 24
1, 6.144, 27
1.5, 6.121, 28
2, 6.05, 29
2.5, 5.976, 30
3, 5.847, 31
3.5, 5.756, 33.1
4, 5.66, 35
4.5, 5.592, 38
5, 5.426, 42
5.5, 5.342, 47
6, 5.176, 55
6.5, 5.065, 60
7, 4.979, 67
0, 6.42, 16.8
0.5, 6.301, 18.9
1, 6.144, 26
1.5, 6.12, 28
2, 6.101, 30
2.5, 6.083, 31
3, 5.823, 33
3.5, 5.732, 34.6
4, 5.654, 36
4.5, 5.539, 38
5, 5.398, 43
5.5, 5.304, 47
6, 5.205, 51
6.5, 5.12, 62
7, 5.002, 69