首页 | 官方网站   微博 | 高级检索  
     

神经网络非线性估计在浆计量仪中的应用
引用本文:王艳,沈毅.神经网络非线性估计在浆计量仪中的应用[J].哈尔滨工业大学学报,1996,28(5):99-104.
作者姓名:王艳  沈毅
摘    要:给出了一种基于人工神经网络的传感器非线线估计新方法。该方法用幂级数多项式拟合传感器的非线性模型,多项式的系数可由神经网络学习算法得到。当环境条件发生变化时,只要给出几组数量数据时,对该方法可自动重新训练网络,获得新的多项式系数,实现传感器的在线标定。

关 键 词:非线性估计  神经网络  造纸  制浆  浆计量仪

The Nonlinear Estimation of Artificial Neural Network-based Sensors Applied in the Pulp Flow Calculation Instrument
Wang Yan, Shen Yi, Liu Zhiyan.The Nonlinear Estimation of Artificial Neural Network-based Sensors Applied in the Pulp Flow Calculation Instrument[J].Journal of Harbin Institute of Technology,1996,28(5):99-104.
Authors:Wang Yan  Shen Yi  Liu Zhiyan
Affiliation:Dept. of Control Engineering
Abstract:new method of nonlinear sensor estimation based on artificial neural networks is proposed. The response of the sensor is expressed in terms of its output by a power series. The coefficients of the power series can be learned and determined by a simple neural algorithm. When the environmental conditions vary, so long as several sets of measured data are given, the neural network can be retrained and a new set of coefficients can be obtained. So the on-line calibration can be realized.
Keywords:Pulp consistency sensor  nonlinear estimation  online calibration  artificial neural networks
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号