| 基于径向基函数神经网络的电容传感器非线性辨识 |
| |
| 引用本文： | 邹海荣.基于径向基函数神经网络的电容传感器非线性辨识[J].上海电机学院学报,2009,12(3):173-177. |
| |
| 作者姓名： | 邹海荣 |
| |
| 作者单位： | 上海电机学院,电气学院,上海,200240 |
| |
| 基金项目： | 上海市教育委员会重点学科051901)，上海电机学院科研启动基金 |
| |
| 摘 要： | 分析差动变间隙式电容传感器的非线性因素,提出基于径向基函数神经网络的传感器非线性辨识的算法、方案与实现技术.对电容传感器进行实验,通过计算机仿真与应用,实现了实验过程和实验数据处理的智能化和简单化,能有效地辨识传感器的非线性,从而提高了测量的精度和速度.
|
| 关 键 词： | 电容传感器 人工神经网络 径向基函数网络 非线性辨识 |
Nonlinear Analysis and Identification of Radial Basis Function Neural Networks-based Capacitive Sensors |
| |
| ZOU Hairong.Nonlinear Analysis and Identification of Radial Basis Function Neural Networks-based Capacitive Sensors[J].JOurnal of Shanghai Dianji University,2009,12(3):173-177. |
| |
| Authors: | ZOU Hairong |
| |
| Affiliation: | School of Electric;Shanghai Dianji University;Shanghai 200240;China |
| |
| Abstract: | The nonlinear factors of differential-distance capacitive sensors are analyzed,and the algorithm,scheme and realization of the sensors' nonlinear identification based on the Radial basis function(RBF) neural networks are all proposed.The intelligent and simplification of the experimental process and the experimental data processing are realized via the computer simulation and application in the experiment of differential-distance capacitive sensors.The nonlinear identification is proved to be effective in i... |
| |
| Keywords: | |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
