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
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;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639883