摘要
为准确预测食用菌产量,采用多源信息融合的策略,研究食用菌产量信息多源获取和传递,采用灰色关联分析法建立了食用菌产量预测模型,并采用DEA模型进行预测。多源信息融合为更加准确预测食用菌产量提供科学依据。
In order to accurately predict the yield of edible fungi, the strategy of multi-source information fusion was adopted,the multi-source acquisition and transmission of the yield information of edible fungi was studied, the yield prediction model of edible fungi was established by using the grey correlation analysis method, and the DEA model was used for prediction. Multisource information fusion provides a scientific basis for more accurate prediction of edible fungi yield.
作者
张莹
ZHANG Ying(Wuhan Technical College of Communications,Wuhan 430065,China)
出处
《中国食用菌》
北大核心
2020年第7期92-94,共3页
Edible Fungi of China
基金
2018年武汉交通职业学院会计科研创新团队建设资助项目(CX2018B05)
2018年湖北省教育科学规划课题(2018GB200)。
关键词
多源信息融合
食用菌产量
预测模型
灰色关联分析
DEA模型
multi-source information fusion
edible fungi
yield
prediction model
grey correlation analysis
DEA