摘要
介绍概率神经网络(PNN)的模型和基本算法,以及利用M atlab神经网络工具箱设计PNN网络的方法和步骤,实现对网络的设计、训练、仿真。针对某水泥泵车臂架细部焊接结构的疲劳寿命实验数据,应用PNN的分类功能对实验数据进行训练仿真处理,得到对臂架细部结构疲劳寿命的预测分类结果,验证了此方法的可靠性。
The paper introduces the model and basic algorithms of Probabilistic Neural Network（PNN）,and the methods and procedures of using Matlab neural network toolbox to design PNN,also the realization of network design training,simulation.The forecast classification results of the experimental data for the arm set of the concrete pump truck wilding structure fatigue life are obtained by using the PNN classified function on training and simulating.The reliability of this method is confirmed.
出处
《计算机与现代化》
2011年第11期47-50,共4页
Computer and Modernization
