The Evaluation Of Student's Quality System Design Based On Neural Network BP Algorithms

The evaluation way of traditional education is difficult to people evaluates the university student's quality in modern society. Increase in recruit students and evaluative guide line made the information of student huge and complex. Handwork and simply Statistic technique couldn't correctly estimate student's ability and potential. A majority of student recognized oneself not impersonality, not know how to change the development of self-route in order to be up against drastic competition. Company couldn't judge the engaged student who adapted demand.The evaluation system of student quality is a complex system. Existent evaluative ways is only about disposed the student's score, so the achievement is better the capability more power. But, it's difficult to say why it's powerful. Student suicide phenomena told us that we must recognition develop roundly, bodily health, mental education. We must know student's mentality activity to guide it greatly. Student's reality data is by way of our project start, coordinate the data about student, Seeing about the student's ability across the differently point of view such as moral education, intellectual education, gymnasium, practice, like, specialty, art activity, mentality questionnaire research etc. Research the data between student info which isn't exist cryptic association, Dig potential knowledge, for example how about the practice ability of a middling intelligence man, how about the art activity ability of a bad achievement student etc. According to it obtained a decision-making bases, we had pertinence help to strengthen a part of student ability against knowledge lacuna and helped them to develop much more. Farther, we could collect employment info about the graduated student, in order to find the relationship between the students behaved in university and obtained employment info after graduated, for assistant the student obtained a job.With the university reform and development in education, the evaluation of university student's quality has incessant development. Face to increasingly complex evaluation object, we had necessity import non-linear evaluation technique. It is importance purpose to ebb the artificial factor, offset the limitation of experience formula and ensure the evaluation have an impersonality and veracity result. Neural networks have a rapid development in recently year. It become a good tools for nonlinear modeling, because it has self-study, self-adapt, association memory, combine disposal and nonlinear mapped characteristic etc.In this paper, we mainly researched the design of The Evaluation of University student's Quality System. First we introduce some evaluation system used actuality in university, the origin of the problem, the system feasibility and the meaning of researching the system. Then, it discussed the requirement analysis and design of whole The Evaluation of University student's Quality System. The analysis and design of algorithms evaluate system had been introduced emphatically. Finally, afterself-determination study the concrete examples and accomplished codes of evaluate student ability each sides. The system is based on the Microsoft SQL Server 2000 database management system, it is developed by C++ Builder 6.0. It has many features such as friendly interface, convenient operating data security and high dependability etc.