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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020106
