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�������պ����ѧѧ�� 2011, Vol. 37 Issue (4) :405-408    DOI:
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Deflection prediction for inflatable wing based on artificial neural network
Wang Zhifei, Wang Hua, Jia Qinping, Han Jing*
School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� To accurately predict the deflection of loaded inflatable wing, a basic impact of influence deflection was analyzed, method of orthogonal experiment was used to ascertain the main impact of influence deflection. The main impact of influence deflection was used as intputs and deflection was used as outputs. A BP artificial network model was established by using plenty of experimental statistics as training specimens, trying to access all kinds of crytic layers and elements, choosing trainlm as optimal function.Ten predictions were done continuously aiming at every group after twelve groups of specimens were selected from experimental results. The relative error between the predicted result and the experiment result is 4.48%, and standard deviation 1.033 7. The analysis results show that the rellative error between the predicted result and the messured reslut are slight for conrete specimens, which indicates that the established artificial network model has high prediction precison.
Keywords�� inflatable wing   BP neural network   deflection prediction     
Received 2010-01-14;
Fund:

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About author: ��־��(1981-),��,���ɹŶ�����˹��,��ʿ��,wangfei54188@163.com.
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��־��, ����, ����Ƽ, ����.�����˹�����������Ի����Ӷ�Ԥ��[J]  �������պ����ѧѧ��, 2011,V37(4): 405-408
Wang Zhifei, Wang Hua, Jia Qinping, Han Jing.Deflection prediction for inflatable wing based on artificial neural network[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(4): 405-408
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