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Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network
Harbin Institute of Technology
Harbin Institute of Technology
- 1 Harbin Institute of Technology
- 2 Harbin Institute of Technology
Journal of Service Science and Management·Volume 01 (2008)·Pages 266–271·Published 10 December 2008·DOI10.4236/jssm.2008.13030
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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.
KeywordsBP neural networkscience researchcapability evaluation
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