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作 者:刘燕德[1,2] 廖军 孙赵祥 李斌 朱明旺[1,2] 姚金良 王秋 LIU Yande;LIAO Jun;SUN Zhaoxiang;LI Bin;ZHU Mingwang;YAO Jinliang;WANG Qiu(Innovation Institute of Intelligent Electromechanical Equipment,East China Jiaotong University,Nanchang 330013,China;School of Mechanical and Electrical Engineering,East China Jiaotong University,Nanchang 330013,China)
机构地区:[1]华东交通大学智能机电装备创新研究院,南昌330013 [2]华东交通大学机电与车辆工程学院,南昌330013
出 处:《激光技术》2023年第4期527-533,共7页Laser Technology
基 金:国家自然科学基金资助项目(31760344);江西省技术创新引导类计划资助项目(20192AEI91007);华东交通大学研究生院研究生创新资金资助项目(YC 2021-S464)。
摘 要:为了降低贡梨自身尺寸差异造成其可溶性固形物含量预测模型的精度不高问题,采用近红外漫反射光谱技术和偏最小二乘回归算法,建立近红外光谱模型和尺寸通用模型,进行了理论分析和实验验证,取得了小果、中果、大果3个尺寸等级的局部尺寸模型和尺寸通用模型,预测了不同尺寸等级贡梨可溶性固形物含量的数据。结果表明,局部尺寸模型预测自身等级的贡梨可溶性固形物含量的效果好,预测其它等级的效果差;通用模型预测小果、中果、大果的预测相关系数分别为0.892、0.937、0.889,预测均方根误差分别为0.524、0.417、0.551,通用模型无论预测哪一个尺寸等级的贡梨都有较好的结果。尺寸通用模型能够减小尺寸差异带来的不良影响,适用于检测不同尺寸等级的贡梨可溶性固形物含量。In order to reduce the low accuracy of the prediction model of soluble solid content caused by the size difference of gongpear,a general size model was proposed.Near-infrared diffuse reflection spectroscopy and partial least squares regression algorithm modeling method of the near-infrared spectrum were adopted,and the theoretical analysis and experimental verification were respectively carried out.Gongpear soluble solids content of data were obtained by a local size prediction model of the small fruit,middle fruit and big fruit size grades and a universal size model with different size grade.The results show that,the local size model is good at predicting the soluble solid content of gongpears with its own grade,but poor at predicting other grades.The correlation coefficient were 0.892,0.937,0.889 and root mean square error of small fruit,medium fruit and large fruit predicted by the general model were 0.524,0.417,0.551.The general size model could reduce the adverse effects of size difference and was suitable for the determination of soluble solid content of gongpear with different size grades.
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