DocumentCode
3149816
Title
Forewarning assessment of psychological crisis in post-disaster based on principal component analysis and neural network
Author
Shan, Wei ; Zhou, Qin ; Pan, Yichao ; Tong, Hengqing
Author_Institution
Sch. of Sci., Univ. of Jinan, Jinan, China
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
903
Lastpage
906
Abstract
This article addresses psychological characteristics, performance of victims and the impact factors of individual psychological crisis responses after a major disaster, and set forth the significance of applying psychological crisis forewarning evaluation in the post-disaster reconstruction. The established psychological crisis forewarning index system is in conformity with the principles of sensitivity, comprehensiveness, systematization, predictability, practicality and so on. This article constructs the model for forewarning assessment of psychological crisis in post-disaster based on principal component analysis and neural network. It can provide a quicker and more efficient prediction and management way to alleviate and decrease psychological crisis of the victims.
Keywords
disasters; neural nets; principal component analysis; psychology; comprehensiveness; forewarning assessment; neural network; post disaster; post-disaster reconstruction; practicality; predictability; principal component analysis; psychological crisis; sensitivity; systematization; Analytical models; Artificial neural networks; Indexes; Mathematical model; Neurons; Principal component analysis; Psychology; Neural Network; Principal Component Analysis; Psychological Crisis; Psychological Crisis Forewarning;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639883
Filename
5639883
Link To Document