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

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DOI: 10.4236/jssm.2008.13030    5,160 Downloads   9,389 Views Citations

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.

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W. Liu and C. Shi, "Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network," Journal of Service Science and Management, Vol. 1 No. 3, 2008, pp. 266-271. doi: 10.4236/jssm.2008.13030.

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