DocumentCode
1988130
Title
The principle and application of synergetic pattern recognition
Author
Xiuduan, Fang ; Binhan, Liu ; Weizhi, Wang
Author_Institution
Dept. of Comput. Sci. & Technol., Fuzhou Univ., China
Volume
4
fYear
2002
fDate
2002
Firstpage
3122
Abstract
The paper first expounds the principle of synergetic pattern recognition. Then it discusses the implementation techniques of the pathology image classification system based on the principle in detail. What´s more, to resolve the problem that the synergetic neural network is weak in recognizing new test samples, it presents the information superposition self-learning algorithm based on a genetic algorithm. The experimental results prove the effectivity of the algorithm.
Keywords
genetic algorithms; image classification; neural nets; pattern recognition; unsupervised learning; experimental results; genetic algorithm; implementation techniques; information superposition self-learning algorithm; pathology image classification system; synergetic neural network; synergetic pattern recognition; Application software; Automatic testing; Computer science; Genetic algorithms; Image classification; Intelligent control; Neural networks; Paper technology; Pathology; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020106
Filename
1020106
Link To Document