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SOM-BP神经网络在食品机械机构优化设计中的应用
引用本文:刘海军,赵妍,马萍,田伟.SOM-BP神经网络在食品机械机构优化设计中的应用[J].北京工商大学学报(自然科学版),2009,27(6):29-32.
作者姓名:刘海军  赵妍  马萍  田伟
作者单位:1. 黑龙江八一农垦大学,食品学院,黑龙江,大庆,163319
2. 黑龙江省农副产品加工机械化研究所,黑龙江,佳木斯,154004
摘    要:论述了神经网络算法对食品机械机构优化设计的适用性.以自组织特征映射网络SOM和误差反向传播网络BP为理论基础,将SOM-BP集成神经网络模型应用于食品机械的机构优化设计领域,建立食品机械四杆机构优化目标函数模型,通过集成网络训练,得到优化设计结果.

关 键 词:SOM算法  食品机械  四杆机构  优化设计

APPLICATION OF SOM-BP NEURAL NETWORK IN FOOD MACHINERY MECHANISM OPTIMIZATION DESIGN
LIU Hai-jun,ZHAO Yan,MA Ping,TIAN Wei.APPLICATION OF SOM-BP NEURAL NETWORK IN FOOD MACHINERY MECHANISM OPTIMIZATION DESIGN[J].Journal of Beijing Technology and Business University:Natural Science Edition,2009,27(6):29-32.
Authors:LIU Hai-jun  ZHAO Yan  MA Ping  TIAN Wei
Institution:LIU Hai-jun1,ZHAO Yan2,MA Ping1,TIAN Wei1(1.Food College,Heilongjiang August First L, Reclamation University,Daqing 163319,China,2.Heilongjiang Provincial Farm , Sideline Products Processing Mechanization Academy,Jiamusi,154004,China)
Abstract:Discussed serviceability of neural network in food machinery mechanism optimization design.On the theoretical basis of self-organizing feature map(SOM) and the back-propagation(BP) network,the integrated SOM-BP nerve network model was applied in the field of food machinery mechanism optimization design, built the optimization target function model of the four bar mechanism in food machinery.Through training integration network,an optimization design result was obtained.
Keywords:SOM algorithm  food machinery  four-bar mechanism  optimization design  
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