摘要
人工神经网络中的BP网络可将一组样本的输入输出问题转变为非线性优化问题。一个零件是由若干种表面特征组成,每个特征的加工方法选择就是一个BP子网络与多个BP子网络组合一起,共同决定最终的加工方法选择。
The input/output of a specimen can be changed into nonlinear optimization by the BP network of a artificial nerve network. Apart is composed of several surfaces, selection of machining method of each surface is a BP network, and it decides the selection of finally machining method that the many BP sub-networks are joined together
出处
《矿山机械》
北大核心
2002年第11期56-57,共2页
Mining & Processing Equipment
