DocumentCode
3431531
Title
An FDO neural network model and its application to image recognition
Author
Sheng, Dingang ; Qi, Feihu
Author_Institution
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., China
fYear
1992
fDate
16-20 Nov 1992
Firstpage
1400
Abstract
A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of image recognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method
Keywords
convergence; image recognition; learning (artificial intelligence); neural nets; basins of attraction; computer simulation; convergence; full domain optimum neural network; image recognition; invariance of mapping; stable points; Bismuth; Convergence; Cost function; Equations; Image converters; Image recognition; Neural networks; Neurofeedback; Output feedback; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN
0-7803-0803-4
Type
conf
DOI
10.1109/ICCS.1992.255028
Filename
255028
Link To Document