Study on the University Science Research Capability Evaluation - Building an Evaluation Index System and Applying the Three-Tier BP Neural Network Model

Abstract

Based on the essence and characteristic of University Science Research Capability (USRC) and the highly self-organized, self-adapted and self-learned characteristics of Back Propagation (BP) Neural Network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a BP Neural Network model with three tiers is presented to evaluate USRC, which provides a BP Neural Network-based methodology for evaluation of USRC with multiple inputs. In the end, a simulation evaluation is taken for example to illustrate the feasibility and use of the methodology from the empirical perspective. This study is expected to be helpful for universities to cultivate their core capabilities.