Research on Evaluation of University Scientific Research Capability Based on Discrete Hopfield Neural Network

This paper introduces an evaluation model for the university scientific research capability based on improved discrete Hopfield neural network ,which can provides scientific reference for colleges and universities to identify the status of their own research capability, enhance scientific research capability and improve their ranks. The model makes concepts of evaluation for scientific research indexes into quantitative data and use them as a Hopfield neural network input, use comprehensive evaluation results as output. Using Matlab to make an empirical analysis we found that if use this model to evaluate university scientific research capability, it can not only overcome the disorder causing by subjective factors of evaluated subject appearing the evaluation process but also can receive a satisfactory evaluating results, with broad applicability.