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The design of parallel neural network target recogniton system with many DSP

  • Shuang Qiao*
  • , Ting Fa Xu
  • , Jian Zhong Song
  • , Zhi Hong Dong
  • *Corresponding author for this work
  • CAS - Changchun Institute of Optics Fine Mechanics and Physics
  • Northeast Normal University

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

Abstract

This paper introduces a virtual neural network system that uses many parallel DSP to realize more targets recognition. This system is made up of DSP image capture unit, 3 parallel neural network recognition units, mobile characteristics calculation unit, syncretism logic, and corresponding software. Practical tests indicate that the statistical recognition ratio of 9 targets is more than 90% and the result can be given in 2.8ms. So this system meets the real time demand.

Original languageEnglish
Title of host publication2003 International Conference on Machine Learning and Cybernetics, ICMLC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3130-3133
Number of pages4
ISBN (Print)0780378652, 9780780378650
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003 - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume5

Conference

Conference2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Neural Network
  • Parallel Structure
  • Target Recognition

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