Analysis And Implementation Of College Teaching Quality Evaluation System Based On ANN Which Trained By PSO Algorithm

As the higher vocational education become more and more popular, it caused not only the higher educational scale is becoming larger, but also the shortage of teacher resource, the teaching quality problem is becoming obvious. Against the problem, the department of education organized some experts to assess every higher college. So, how to improve the teaching quality has already been the first task to every higher vocational education in the recent time and future. In order to improve the quality, we must strengthen the management whole and strict, especially on the evaluation of teaching quality. The quality evaluation should be on some educational objective for expenses, use the useful and feasible technical method course to justify and evaluate the educational activity's procedure, method, form and goal etc, the result is to form the correct steady value standard and atmosphere, make the teachers have the feelings of convince fair and achievement. After the evaluation, using the feedback, the teachers can achieve every information in the educational process in time, know their own achievements and shortage, strengthen adjust remedy constantly overcome the misplay and shortage in education in time, develop achievements, make the level of education better and better. But how to set up a scientific justice quality system is a complex problem. On the existing situation of study, it concentrates on two points: one is how to get the data conveniently and effectively; another is on the study of the way how to assess quality grade.In the quality evaluation process, as there are many factors affecting it, the degree they are affected is different and the result of evaluation is hardly to use the equal mathematics analytic expression to show. It is a complicated non-linear classification problem. Traditional classification method can't solve these problems thoroughly. BP network is a new kind technique, on their non-linear mapped, studying sort and real time optimization etc. These characters cut a new way for the study of mode identify, non-linear mapped and widely used in many kinds of evaluation problems. BP algorithm has some shortcomings such as the speed of training is slow and the generation probably is not good. So, this article uses PSO algorithm to train BP network in order to get the evaluation of the teaching quality. It suggests that this algorithm can reduce number of training and error obviously and has better generalization than traditional BP algoritlim.The subject is established in the characters of the higher vacation educational work and the request of educational quality to educational development, using the system of bringing up person with ability as the studying objective, bringing the BP neural network trained by PSO algoritlim theory into the higher quality evaluation. Using BP network model structure to set up math model, introduce the arithmetic BP neural network trained by PSO algorithm.The system's realization is divided into two parts: one is to get the data from the evaluation system through network; another is to deal with the data, such as the functions of stylebook maintenance, BP neural network which trained by PSO algorithm's training and evaluation. Through the experiment data, it indicates using BP neural network which trained by PSO algorithm evaluate quality is feasible, and satisfy the request of precision, it really prompts a convenient tool for higher education evaluation.