基于BP神经网络和遗传算法的库尔勒香梨挥发性物质萃取条件的优化
|
|
张芳,未志胜,王鹏,李凯旋,詹萍,田洪磊
|
Using Neural Network Coupled Genetic Algorithm to Optimize the SPME Conditions of Volatile Compounds in Korla Pear
|
|
ZHANG Fang,WEI ZhiSheng,WANG Peng,LI KaiXuan,ZHAN Ping,TIAN HongLei
|
|
表2 验证试验数据集
|
Table 2 Verification of experimental data set
|
|
序列
Sequence | 样品量
Sample amount
(g) | 萃取温度
Extraction temperature (℃) | 萃取时间
Extraction time (min) | 盐添加量
Salt addition
(g) | 实验值
Observed value (μg?g-1) | 预测值
Predictive value (μg?g-1) | 相对误差
Relative error (%) | | 1 | 7 | 50 | 30 | 0.8 | 1.52 | 1.54 | -1.60 | | 2 | 4 | 45 | 15 | 0.5 | 2.88 | 2.81 | 2.43 | | 3 | 6 | 40 | 15 | 0.7 | 2.24 | 2.27 | -1.34 | | 4 | 5 | 45 | 25 | 0.9 | 3.10 | 3.00 | 3.23 | | 5 | 6 | 35 | 20 | 1.0 | 2.05 | 2.11 | -2.93 | | 6 | 5 | 50 | 25 | 0.5 | 1.96 | 2.02 | -3.06 | | 7 | 3 | 35 | 25 | 0.8 | 1.64 | 1.59 | 1.24 |
|
|
|