Control strategy of adaptive neural network for sensor accuracy optimized

SONG Zhan-kui; ZHAO Guo-qiang

doi:10.13873/j.1000-97872010.07.039

Chinese

您当前的位置：

首页 >

文章列表页 >

Control strategy of adaptive neural network for sensor accuracy optimized

更新时间：2025-09-11

- Control strategy of adaptive neural network for sensor accuracy optimized
- Vol. 29, Issue 7, Pages: 40-42(2010)
- 作者机构：
  
  辽宁工程技术大学,电气与控制学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.07.039
  CLC： TP212
- Published：2010
- 稿件说明：
移动端阅览
[1]宋占魁,赵国强.优化改进传感器精度的自适应神经网络控制策略[J].传感器与微系统,2010,29(07):40-42.

SONG Zhan-kui, ZHAO Guo-qiang. Control strategy of adaptive neural network for sensor accuracy optimized[J]. 2010, 29(7): 40-42.
[1]宋占魁,赵国强.优化改进传感器精度的自适应神经网络控制策略[J].传感器与微系统,2010,29(07):40-42. DOI： 10.13873/j.1000-97872010.07.039.

SONG Zhan-kui, ZHAO Guo-qiang. Control strategy of adaptive neural network for sensor accuracy optimized[J]. 2010, 29(7): 40-42. DOI： 10.13873/j.1000-97872010.07.039.

摘要

对于传感器在进行检测时

由于环境存在很多的干扰因素

会对传感器检测产生很大的干扰

使测量结果难以达到准确结果

提出用自适应神经网络来提高传感器测量精度的新方法

该神经网络可以看做是一个非线性自适应滤波器

通过Matlab仿真和实际使用证明:该方法不仅提高传感器精度

还提高了传感器环境适应性。

Abstract

Because of the presence of many interference factors in environment

the detecting of sensor is greatly interfered. The result is not accurate. A new method of adaptive neural network for sensor precision is presented. This neural network can be acted as non-linear adaptive filter. It is proved by Matlab simulation and actual application that this method can not only improve sensor’s precision

but also improve sensor’s environmental adaptability.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on stability of polarographic dissolved oxygen sensor

Design of temperature control system in process of explosive drying

The algorithm of autonomous obstacle avoidance based on behavior fusion for mobile robot

Research on sensor signal linearization based on computer technology of hardware and software

Experiment study on stability of fiber Bragg grating sensors

Related Author

ZHANG Wei-wei

SUN Yan-yu

CHU Hong-wei

CHEN You-xing

WANG Zhao-ba

BAO Qing-yong1

LI Shun-ming1

SHEN Huan1

Related Institution

The 49th Research Institute,China Electronics Technology Group Corporation

National Key Laboratory for Electronic Measurement Technology,North University of China

College of Energy and Power Engineering,Nanjing University of Aeronautics andAstronautics

School of Mechanical Engineering,Ningbo University of Technology

Xi’an University of Technology

⁰