Performance Evaluation of Agricultural Products Cold Chain Logistics Enterprises Based on GA-BP Algorithm
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 com-panies,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.
万方数据
维普
