摘要
文中介绍了利用BP神经网络的高度非线性逼近能力,解决连续搅拌反应釜动态液位测量问题。包括BP的基本算法及其应用体会,建立符合实际的动态液位测量网络模型的过程,并给出应用该网络模型实际测量液位的结果。
This paper introduces a method which takes the use of the powerful nonlinearity approach capability of BP neural networks to measure the dynamic liquid levels in continuous-stirring reactors.It includes the basic arithmetic of BP neural network,its application and the development of an applicable neural network module of dynamic liquid level measurement.An example of the method is provided in the paper.
出处
《工业仪表与自动化装置》
2004年第4期40-42,共3页
Industrial Instrumentation & Automation
关键词
BP神经网络
动态液位
测量
BP neural network
dynamic liquid level
measurement
