Optimization of Intelligent Evaluation of English Diagnosis System Based on Particle Swarm Optimization

Abstract

With the rapid development of science and technology, people have put forward higher requirements for work efficiency and living environment. In order to better meet these requirements, various intelligent systems designed have also received more and more attention. In order to improve the quality and efficiency of English teaching, reduce the cost of teachers and better meet the needs of students, this paper proposes an intelligent evaluation optimization method for English diagnosis system. This paper mainly uses the methods of experiment and comparison to analyze the students' achievements. The experimental data shows that if the threshold value is between 0.2 and 0.3, it can be seen that the error rate is very high, so we need to refer to the new synthesis rules to repeat the calculation to avoid large diagnostic errors caused by incomplete corpus.