Abstract:After analyzing various evaluation index system of scientific research performance in universities,issues as too many indices, hardy-quantificational and easily-correlated indices, are studied in this paper .Principal Component Analysis is adopted firstly to screen out the main one from a great deal of evaluation factor to decline the dimension effectively under the condition that evaluation information are reserved. Quantitative evaluation on the performance of scientific research in universities is gained by the self-study function of the BP neural network. This model can reasonably evaluate scientific research performance, key competition ability and research potentiality of scientific research teams in colleges/departments and provide approaches for scientific research management in universities.
叶国荣. 基于BP神经网络的高校院系科研绩效评价模型[J]. , 2009, 1(2): 87-92.
ye guo-rong. Evaluation on the Performance of Scientific Research in Universities Based on BP Neural Network. , 2009, 1(2): 87-92.