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.
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.
出处
《北京工商大学学报(自然科学版)》
CAS
2009年第6期29-32,共4页
Journal of Beijing Technology and Business University:Natural Science Edition
关键词
SOM算法
食品机械
四杆机构
优化设计
SOM algorithm
food machinery
four-bar mechanism
optimization design