Your Location：
Home >
Browse articles >
Simulating primary visual cortex to improve robustness of CNN neural network structures
Information Sciences | Updated：2026-09-11
Previous|Next

    • Simulating primary visual cortex to improve robustness of CNN neural network structures

    • ZHANG Lijuan , HU Mengda , ZHANG Ziwei , JIANG Yutong , LI Dongming
    • Optics and Precision Engineering Vol. 31, Issue 15, Pages: 2287-2294(2023)

    • DOI： 10.37188/OPE.20233115.2287     

      CLC：

    • Revised：2023-03-29 ，

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • Figs( 6 ) Tabs( 1 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

540

Views

1288

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Multicomponent Raman detection of coal gas based on internal standard calibration and multivariate modeling
Prioritization of base model segmentation for light weight detection of train faults
Multi-scale image enhancement in turbid water via spatial-frequency domain fusion
Visual measurement error compensation based on multi-dimensional grayscale extracted by SAM
Real-time prediction of subsequent frames in broadband video based on optical flow method

Related Author

GUO Songjie
LI Junkai
QIU Xuanbing
TIAN Yali
ZHANG Qisheng
DONG Zhancui
LI Wei
SONG Liming

Related Institution

School of Applied Science， Taiyuan University of Science and Technology， Shanxi Province Engineering Research Center of Precision Measurement and Online Detection Equipment
Qidong Intelligent Equipment Research Center at Taiyuan University of Science and Technology， Qidong
Beijing Shougang Co.， Ltd.， Qian'an Iron and Steel Company， Qian'an
Shanxi Jinpu Optoelectronic Technology Co.， Ltd.
School of Mechanical Engineering， Hubei University of Technology