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J. C. Glassa, G. McCallionb, and D. G. McKillopc, “Implications of variant efficiency measures for policy evaluations in UK higher education,” [J]. Socio-Economic Planning Sciences, Vol. 40, Issue 2, pp. 119-142, June 2006.

has been cited by the following article:

• TITLE: Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network

  AUTHORS: Weiwei Liu, Chunsheng Shi

  KEYWORDS: BP neural network, science research, capability evaluation

  JOURNAL NAME: Journal of Service Science and Management, Vol.1 No.3, December 30, 2008

  ABSTRACT: After analyzing effect elements of University Science Research Capability (USRC) based on dynamic capability theory, combined the substance of university science research with 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 15-7-1-typed BP Neural Network with three layers is presented to evaluate USRC, which provides a BP Neural Network-based methodology for evaluation of USRC with multiple inputs.