Prediction filter design for electrostatic detection based on linear neural network

Lixin Xu; Xinkai Zhu

doi:10.1109/CHICC.2006.280947

Prediction filter design for electrostatic detection based on linear neural network

Lixin Xu^*, Xinkai Zhu

^*Corresponding author for this work

School of Mechatronical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2006 Chinese Control Conference Proceedings, CCC 2006
Pages	2212-2214
Number of pages	3
DOIs	https://doi.org/10.1109/CHICC.2006.280947
Publication status	Published - 2007
Event	25th Chinese Control Conference, CCC 2006 - Harbin, China Duration: 7 Aug 2006 → 11 Aug 2006

Publication series

Name	2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference	25th Chinese Control Conference, CCC 2006
Country/Territory	China
City	Harbin
Period	7/08/06 → 11/08/06

Keywords

Electrostatic detection
Linear neural network
Signal prediction

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10.1109/CHICC.2006.280947

Cite this

Xu, L., & Zhu, X. (2007). Prediction filter design for electrostatic detection based on linear neural network. In 2006 Chinese Control Conference Proceedings, CCC 2006 (pp. 2212-2214). Article 4060495 (2006 Chinese Control Conference Proceedings, CCC 2006). https://doi.org/10.1109/CHICC.2006.280947

@inproceedings{32e53b54d1114c2cb76fdf9ac91a07b9,

title = "Prediction filter design for electrostatic detection based on linear neural network",

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.",

keywords = "Electrostatic detection, Linear neural network, Signal prediction",

author = "Lixin Xu and Xinkai Zhu",

year = "2007",

doi = "10.1109/CHICC.2006.280947",

language = "English",

isbn = "7810778021",

series = "2006 Chinese Control Conference Proceedings, CCC 2006",

pages = "2212--2214",

booktitle = "2006 Chinese Control Conference Proceedings, CCC 2006",

note = "25th Chinese Control Conference, CCC 2006 ; Conference date: 07-08-2006 Through 11-08-2006",

}

TY - GEN

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AU - Xu, Lixin

AU - Zhu, Xinkai

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Electrostatic detection

KW - Linear neural network

KW - Signal prediction

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U2 - 10.1109/CHICC.2006.280947

DO - 10.1109/CHICC.2006.280947

M3 - Conference contribution

AN - SCOPUS:37349069167

SN - 7810778021

SN - 9787810778022

T3 - 2006 Chinese Control Conference Proceedings, CCC 2006

SP - 2212

EP - 2214

BT - 2006 Chinese Control Conference Proceedings, CCC 2006

T2 - 25th Chinese Control Conference, CCC 2006

Y2 - 7 August 2006 through 11 August 2006

ER -

Prediction filter design for electrostatic detection based on linear neural network

Abstract

Publication series

Conference

Keywords

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