摘要
研究3种改进的BP算法在控制图模式识别中的应用。应用Matlab神经网络工具箱对神经网络进行仿真,为了提高网络的运行速度,对样本数据进行预处理。仿真结果表明尺度共轭梯度下降算法的训练速度最快,识别的准确率也最高。
This paper studies three kinds of BP algorithm on control chart pattern recognition.Matlab neural network toolbox is applied. In order to advance the speed,data pretreatment is done firstly.The simulation result indicates that conjugate gradient algorithm has the highest recognition accuracy and the fastest speed.
出处
《机械与电子》
2005年第3期42-44,共3页
Machinery & Electronics
关键词
控制图
模式识别
改进的BP算法
control chart
pattern recognition
improved BP algorithm
