In terms of the poor evaluation system of graduation theses

which is easy to be influenced by many human factors

we try to establish a more scientific and objective evaluation model and method of graduation thesis quality. Firstly

the index system of graduation thesis quality evaluation model was con-structed

including topic selection

professional knowledge level

data collection capacity

ability to use knowledge

level of guidance teacher

and quality of the paper. Secondly

using expert scoring method

combining Matlab programming and applying AHP

the weight of the quality evaluation elements of gradua-tion thesis was obtained

and the key factors affecting the quality level of graduation thesis were determined. Finally

a discrete Hopfield neural network model for the quality level of graduation thesis was established

and 120 graduation theses were selected for quality level simulation evaluation

and compared with the ideal evaluation results. The results showed that the discrete Hopfield neural network model is correct and it can effectively provide objective

scientific and normative evaluation for the quality of graduation theses.