Pulse Coupled Neural Network Model of Flood Disaster Evaluation

Author

Fu, Qiang ; Wang, Zilong ; Wang, Baohua

Author_Institution

Coll. of Water Conservancy & Archit., Northeast Agric. Univ., Harbin, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

The evaluation of flood disaster has great guidance to the systematic management of flood disaster. It is a new attempt that pulse coupled neural network model is used in the evaluation of flood disaster. This method adjusted threshold value through the output of impulse, and using dynamic threshold decided the grade of flood disaster. This model simplified the training of the weight compared to BP model, which was simpler, convenient and intuitionistic. Compared the results of pulse coupled neural network model with grey association, grey clustering and synthetic grey-fuzzy, it shows that pulse coupled neural network model is scientific and practicable to evaluation of flood disaster loss.

Keywords

disasters; floods; neural nets; BP model; dynamic threshold; flood disaster evaluation; grey association; grey clustering; pulse coupled neural network model; synthetic grey-fuzzy; Biological system modeling; Decision making; Disaster management; Educational institutions; Environmental management; Floods; Image converters; Management training; Neural networks; Water conservation;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5302821

Filename

5302821