Application of rough fuzzy neural network in iron ore import risk early-warning

Authors:
YunBing Hou;Juan Yang
Affiliations:
College of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, China;College of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

This paper identifies factors for iron ore import risk early warning Application of rough set theory for Chinese iron ore import risk factors and test data reduction has been introduced to construct rough fuzzy neural network model of iron ore import risk assessment By employing monthly data of 2004.1-2008.12 for model training, we use this model to forecast 10 groups (2009.1-2009.10) of iron ore import risk early-warning indicators under conditions and to predict the actual test results and error analysis of data.