摘要
主要通过PLD算法确定神经网络中隐含层神经元的数目及连接权值,并通过Matlab随机模拟生成一个二维三类线性可分集,用传统的BP网络和本文提出的PLD算法分别对其进行分类实验。
This article mainly uses the PLD algorithm to determine the neuron＇s numbers and the connection weights of hidden layer in the neural network,and produces two-dimensional three kind of linear divided categories through Matlab random simulation,carries on the classified experiment separately to it by using the traditional BP network and PLD algorithm proposed in this article.
出处
《信息技术》
2010年第10期79-81,共3页
Information Technology
