Title :
BP Neural Network-Based Research of University Science Research Capability Evaluation
Author :
Liu, Weiwei ; Shi, Chunsheng
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin
Abstract :
Based on the substance 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 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.
Keywords :
backpropagation; educational computing; educational institutions; 15-7-1-typed backpropagation neural network; evaluation index system; selfadapted characteristics; selflearned characteristics; selforganized characteristics; university science research capability evaluation; Biological neural networks; Computer science education; Data envelopment analysis; Educational technology; Neural networks; Paper technology; Production systems; Project management; Quality management; Technology management; BP Neural Network; Capability Evaluation; Science Research;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.129
