XIE Lai-chao,SHEN Qun,ZHANG Xin-yan,et al.Evaluation on Tofu Processing Characteristics of Soybean Based on Neural Network[J].Soybean Science,2013,32(01):93-100.[doi:10.3969/j.issn.1000-9841.2013.01.022]
基于神经网络法对原料大豆豆腐加工特性的评价
- Title:
- Evaluation on Tofu Processing Characteristics of Soybean Based on Neural Network
- 文章编号:
- 1000-9841(2013)01-0093-05
- Keywords:
- Soybean; Tofu; Neural network; Evaluation method
- 分类号:
- TS205
- 摘要:
- 以51种大豆为原料,对大豆理化指标与豆腐品质指标进行相关性分析,然后以显著相关的大豆理化指标为输入,豆腐品质指标为输出,建立基于神经网络法的原料大豆的豆腐加工特性评价方法。结果表明:大豆可溶性蛋白含量与豆腐产量(r=0.743)呈极显著正相关;粗蛋白含量与豆腐的黏附性(r=0.481)和弹性(r=0.456)呈显著正相关;豆腐硬度与总固形物含量(r=0.466)呈显著相关性,与滴定酸度(r=-0.478)呈显著负相关;建立的神经网络预测模型,相对较准确地预测了不同大豆品种加工成豆腐的加工特性,产量、硬度和弹性的预测相对误差分别为1.046%、3.05%和8.49%。
- Abstract:
- A novel method of tofu processing characteristics of soybeans was established by analyzing the correlation between soybean cultivar’s physical-chemical characteristics and tofu qualities.The method was based on neural network,where significant correlational characteristics as input and tofu qualities as output.The results indicated that soluble protein content significantly positive-correlated with yield(r=0.743,p<0.01),raw protein content significantly positive-correlated with adhesive(r=0.481,p<0.05)and springness(r=0.456,p<0.05),while yield had significant correlation with total solid(r=0.466,p<0.05)and titratable acidity(r=-0.478,p<0.05).Tofu qualities made from different soybean cultivars were accurately predicted by the established neural network.Comparing to the experiment data,the relative error of yield,hardness and springiness of predicition data were 1.046%,3.05% and 8.49%,respectively.
参考文献/References:
[1]Poysa V,Woodrow L.Stability of soybean seed composition and its effect on soymilk and tofu yield and quality[].Food Research International,2002,35:337-345.
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备注/Memo
第一作者简介:谢来超(1988-),男,在读硕士,研究方向粮食油脂与植物蛋白。E-mail:ben_moody@163.com。