Digital Resource Service Performance Evaluation Study Based on Grey Relational Analysis and BP Neural Network

摘要

The paper establishes digital resource service performance evaluation model based on grey relational analysis and BP neural network.Firstly,the paper reduces its evaluation index system by grey relational analysis and eliminates redundancy,then inputs the reduction indexes to BP neural network for intelligent training.Finally,input waiting evaluation test samples to the trained BP network and gets the actual output values of digital resource service performance.The actual output results are matched with desired output results,which prove the feasibility and effectiveness of evaluation.