Prediction filter design for electrostatic detection based on linear neural network

Lixin Xu*, Xinkai Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Simulation results show that the neural network output can approximate the expected signal correctly after weight training, the prediction filter can provide an effective way to compensate the delay of circuits and improve the reality of the target recognition system.

Original languageEnglish
Title of host publication2006 Chinese Control Conference Proceedings, CCC 2006
Pages2212-2214
Number of pages3
DOIs
Publication statusPublished - 2007
Event25th Chinese Control Conference, CCC 2006 - Harbin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

Name2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference25th Chinese Control Conference, CCC 2006
Country/TerritoryChina
CityHarbin
Period7/08/0611/08/06

Keywords

  • Electrostatic detection
  • Linear neural network
  • Signal prediction

Fingerprint

Dive into the research topics of 'Prediction filter design for electrostatic detection based on linear neural network'. Together they form a unique fingerprint.

Cite this