DocumentCode
123476
Title
Model and research on score evaluation model of graduation thesis
Author
Hong-ben Mao ; Qi Jiang ; Ai-hua Zhou ; Shi-fa Wang
Author_Institution
Office of Acad. Affairs, Nanjing Forestry Univ., Nanjing, China
fYear
2014
fDate
22-24 Aug. 2014
Firstpage
735
Lastpage
738
Abstract
The score evaluation of graduation thesis is an important means to inspect, evaluate and promote graduation thesis. In this paper, by using the significance test method of the multivariate statistical analysis, we examined the impact significance of each evaluation index on graduation thesis total evaluation result, based on this to select the appropriate evaluation index and to construct a score evaluation model. By means of BP neural network, we constructed the non-linear model between the graduation thesis evaluation indices and overall mark, and finally formed an effective score evaluation method on graduation thesis.
Keywords
backpropagation; educational computing; inspection; neural nets; statistical analysis; BP neural network; evaluation index; graduation thesis evaluation indices; graduation thesis inspection; graduation thesis promotion; graduation thesis total evaluation result; multivariate statistical analysis; nonlinear model; score evaluation model; test method; Computational modeling; Computers; Indexes; Neural networks; BP neural network; graduation thesis; higher education; score evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4799-2949-8
Type
conf
DOI
10.1109/ICCSE.2014.6926559
Filename
6926559
Link To Document