Research on algorithms of gabor wavelet neural network based on parallel structure

Tingfa Xu*, Zefeng Nie, Jianmin Yao, Guoqiang Ni

*Corresponding author for this work

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

Abstract

Aiming at image target recognition, a novel algorithm of Gabor wavelet neural network based on parallel structure is proposed in this paper, and the system of neural network for multi-target recognition is designed. Based on the characteristics of multi-CPU parallel structure and the parallel property of neural network, the algorithm of Gabor wavelet neural network is proved theoretically. The relevant algorithm structure is designed; the training and recognizing algorithms for image target recognition are given out. Finally, the simulation experiment for 4 types of plane targets indicated that recognition rate reached 98%+, recognizing time was 40ms.

Original languageEnglish
Title of host publicationAgent Computing and Multi-Agent Systems
Subtitle of host publication9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Proceedings
PublisherSpringer Verlag
Pages520-527
Number of pages8
ISBN (Print)3540367071, 9783540367079
DOIs
Publication statusPublished - 2006
Event9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006 - Guilin, China
Duration: 7 Aug 20068 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4088 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006
Country/TerritoryChina
CityGuilin
Period7/08/068/08/06

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