摘要
提出了一种新型的神经网络的训练方法,包括输入层节点的自动寻找技术和隐含层节点的自动生成技术.为了验证该算法的正确性,利用该算法对同向回转观机驱动振动系统进行了神经网络逼近分析,计算机模拟结果表明该算法可以准确地确定输入层和隐含层节点的数目.
A novel training method for BP neural network is proposed in this paper,which involves automatic finding the nodes of input layer and automatic generation of hidden layers.In order to verify the eHiciency of the proposed algorithm, a computer simulation is carried out, that a BP neural network is used to study the dynamics of vibrating machine with twin-motor rotating in the same direction. The results of computer simulation show that the proposed methed can effectively find the nodes of input layer and generate the nodes of hidden layers.
出处
《黄金学报》
1999年第2期106-109,共4页
Gold Journal