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�������պ����ѧѧ�� 2006, Vol. 32 Issue (10) :1209-1214    DOI:
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Algorithm of multi-objective prediction on logistics volume of combined transportation
Xu Xiangyang, Wang Shuhan, Tang Pengxiang, Shi Gan*
Dept. of Automobile Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� A new method was brought forward for the modeling of multi-objective prediction on logistics volume of combined transportation. Based on the standard of time, field, influence and combined transportation, using systems engineering antilogy, a model of four-dimensional factors of logistics volume was designedand optimized by using structural equation model. The fatal influencing factors of logistics volume of combined transportation were distilled. A new advanced neural network arithmetic integrated with genetic algorithm was put forward to make up the limitation of advanced neural network, and applied in a example of multi-objective prediction on logistics volume of combined transportation. Results show that this advanced algorithm performs steadily with high precision and convergence speed.
Keywords�� multi-objective prediction   logistics volume of combined transportation   structural equation model   genetic algorithm   neural network     
Received 2006-05-15;
About author: ������(1965-),��,ɽ����̨��,����,xxy@buaa.edu.cn.
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������, ���麲, ������, ʯ��.��Ŀ���������������Ԥ�⽨ģ�㷨[J]  �������պ����ѧѧ��, 2006,V32(10): 1209-1214
Xu Xiangyang, Wang Shuhan, Tang Pengxiang, Shi Gan.Algorithm of multi-objective prediction on logistics volume of combined transportation[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(10): 1209-1214
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