摘要
对国内农产品冷链物流企业的相关数据进行分析,探究影响农产品冷链物流企业绩效的原因,建立农产品冷链物流企业的绩效评价指标;采集有关公司的实际数据,对指标体系所对应的指标值进行量化和归一化处理,形成相应的样本训练集,并采用遗传算法(GA)优化BP人工神经网络;建立基于GA神经网络算法的应用模型,进行仿真训练,以确定最优隐层数;同时,对比多种评价方法结果,以证明此方法的有效性及相对准确性;阐述所提方法在农产品冷链物流企业决策与管理系统中的应用方法和应用前景。
This paper analyzes the relevant data of domestic agricultural products cold chain logistics enterprises,explores the reasons that affect the performance of agricultural products cold chain logistics enterprises,and establishes an index system for the performance evaluation of agricultural products cold chain logistics enterprises.We collect the actual data of relevant companies,quantify and normalize the index values corresponding to the index system,form the corresponding sample training set,and use GA(Genetic Algorithm)to optimize BP artificial neural network.The application model based on GA neural network algorithm is established,and simulation training is carried out to determine the optimal number of hidden layers.At the same time,we compare the results of various evaluation methods to prove the effectiveness and relative accuracy of this method.The application methods and prospects of this method in the decision-making and management system of agricultural products cold chain logistics enterprises are described.
作者
叶斌
李娜
YE Bin;LI Na(Higher Vocational and Technical College,Chengdu Neusoft University,Chengdu 611844,China)
出处
《微型电脑应用》
2024年第4期17-20,共4页
Microcomputer Applications
基金
成渝地区教育与经济社会协同发展研究中心项目(CYJXF22032)
四川省高等学校人文社会科学重点研究基地—四川高等职业教育研究中心立项项目(GZY23B05)
四川省民办教育协会项目(MBXH23YB284)。
关键词
农产品
冷链物流
绩效
GA-BP神经网络
agricultural product
cold chain logistic
performance
GA-BP neural network
作者简介
叶斌(1981-),男,硕士,副教授,研究方向为信息技术;李娜(1995-),女,硕士,讲师,研究方向为物流技术。
