Canadian Social Science
The Forecasting of Humanitarian Supplies Demand Based on Gray Relational Analysis and BP Neural Network
Abstract
This paper analyzes the characteristics of humanitarian supplies demand in the context of flood and discusses the disasters associated factors which influence the demand of humanitarian supplies. Then we choose the severe flooding whose grades is more than fifty year return period between 2004 and 2016 as the analysis objects，which is illustrated by the example of the Red Cross Society of China whose demand of relief tent in the flood. Finally, we set up gray relational analysis and BP neural network.
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DOI: http://dx.doi.org/10.3968/8829
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Copyright (c) 2016 Na Yang, Jiangyuan Zhao
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