基于BP人工神经网络算法的苹果制干适宜性评价
|
张彪,刘璇,毕金峰,吴昕烨,金鑫,李旋,李潇
|
Suitability Evaluation of Apple for Chips-Processing Based on BP Artificial Neural Network
|
ZHANG Biao,LIU Xuan,BI JinFeng,WU XinYe,JIN Xin,LI Xuan,LI Xiao
|
|
表7 原料指标与脆片核心指标相关性分析
|
Table 7 Analysis of correlation between indicators of raw material and core indexes of chips
|
|
| L*值 L* Value | 脆度 Crispness | 膨化度 Puffing degree | 可滴定酸Titratable acid | 可溶性糖 Soluble sugar | 粗蛋白 Crude protein | 质量 Weight | -0.005 | -0.186 | 0.013 | 0.139 | 0.191 | -0.054 | 体积 Volume | -0.003 | -0.187 | -0.005 | 0.184 | 0.115 | -0.010 | 密度 Density | -0.053 | -0.013 | 0.115 | -0.266 | 0.450** | -0.334 | 果形指数 Shape index | 0.390* | -0.272 | 0.136 | 0.006 | -0.268 | -0.005 | 果核比例 Proportion of core | -0.082 | -0.365* | 0.183 | -0.572** | 0.232 | -0.295 | L*值(皮) L* value (peel) | 0.239 | -0.005 | 0.198 | 0.003 | -0.200 | -0.041 | a*值(皮) a* value (peel) | -0.273 | -0.071 | -0.194 | -0.238 | 0.285 | -0.252 | b*值(皮) b*value (peel) | 0.293 | 0.024 | 0.181 | 0.090 | -0.271 | 0.034 | L*值(肉) L* value (pulp) | 0.305 | 0.101 | 0.117 | 0.210 | -0.189 | 0.076 | a*值(肉) a* value (pulp) | -0.428* | -0.080 | -0.142 | -0.317 | 0.160 | -0.155 | b*值(肉) b* value (pulp) | -0.177 | 0.033 | -0.107 | -0.521** | -0.160 | -0.007 | 果皮硬度 Hardness of peel | -0.319 | -0.034 | -0.020 | -0.098 | 0.180 | -0.097 | 果肉硬度 Hardness of pulp | -0.191 | 0.019 | -0.105 | -0.147 | 0.267 | -0.284 | pH | -0.527** | 0.314 | -0.229 | -0.167 | -0.046 | 0.010 | 可滴定酸 Titratable acid | 0.554** | -0.192 | 0.235 | 0.089 | -0.134 | 0.111 | 可溶性固形物 Soluble solid | 0.148 | -0.024 | 0.089 | -0.102 | 0.347* | -0.336 | 含水率 Moisture | -0.068 | -0.239 | 0.109 | 0.249 | -0.259 | 0.192 | 粗纤维 Crude fiber | -0.212 | 0.073 | -0.044 | -0.267 | 0.347* | -0.057 | 粗蛋白 Crude protein | 0.185 | 0.352* | -0.143 | 0.247 | -0.109 | -0.056 | VC | 0.361* | 0.115 | 0.284 | 0.234 | 0.006 | 0.007 | 还原糖 Reducing sugar | -0.145 | -0.036 | 0.054 | -0.051 | 0.204 | -0.180 | 总糖 Total sugar | 0.022 | -0.085 | 0.220 | 0.178 | 0.176 | -0.363* |
|
|
|