Optimization Algorithm of Learning Quality Evaluation Based on Cognition in Cloud Computing

Abstract

In the cloud computing environment, the optimization algorithm of learning quality evaluation based on cognition has strong practicability. Cloud computing based learning quality evaluation optimization algorithm provides realtime feedback to cognitive users in the virtual network, which can improve the model design and improvement work, thus improving the system operation efficiency. This paper mainly uses the analytic hierarchy process and experimental design to design and test the learning quality evaluation system. The experimental data shows that the system designed in this paper takes no more than 3s and can be used by students’ schools normally.