DocumentCode
2797775
Title
Image recognition using a quadratic convergent learning algorithm of synergetic neural network
Author
Sheng, R.Q. ; Qiao, Hong ; Chen, Bing
Author_Institution
Dept. of Comput. Sci., Shanghai Jiao Tong Univ., China
Volume
1
fYear
2003
fDate
8-13 Oct. 2003
Firstpage
255
Abstract
This paper presents a learning algorithm of synergetic neural network that can be realized by a 2-layered network. A main feature of the new algorithm is that it is of high accuracy and quadratic convergence rate. Further it avoids the error being accumulated. The experiment results show that the algorithm enables the synergetic neural network to recognize images more effectively compared with previous algorithms.
Keywords
computer vision; image recognition; learning (artificial intelligence); neural nets; 2-layered network; Image recognition; quadratic convergence rate; quadratic convergent learning algorithm; synergetic neural network; Clustering algorithms; Computer networks; Convergence; Image converters; Image recognition; Intelligent robots; Neural networks; Pattern recognition; Prototypes; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN
0-7803-7925-X
Type
conf
DOI
10.1109/RISSP.2003.1285583
Filename
1285583
Link To Document