DocumentCode :
2068011
Title :
A forecast model about average load of cognitive work based on BP network
Author :
Yanghua, Cao ; Fansen, Kong
Author_Institution :
Inst. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
347
Lastpage :
350
Abstract :
This paper proposed a forecast model about the average load of cognitive work. Firstly, it reviewed the related research about cognitive load assessment. Secondly, it set up an indicators system of cognitive assessment and chose some assessment methods. Finally, it set up a BP network forecast model by taking the subjective assessment conclusions as outputs, the objective assessment data as inputs. It validated this model by designing and carrying out a cognitive load test. The model this paper proposed can mine the related specialists´ knowledge in the existing data, it can forecast the workload of a similar cognitive task and reduce the assessment workload effectively.
Keywords :
backpropagation; cognition; neural nets; BP neural network; cognitive load assessment; cognitive work average load; forecast model; indicator system; knowledge mining; objective assessment; subjective assessment; Biological neural networks; Brain modeling; Data mining; Load modeling; Predictive models; Presses; Training; BP network; assessment; average load of cognitive work; forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
Type :
conf
DOI :
10.1109/TMEE.2011.6199214
Filename :
6199214
Link To Document :
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