DocumentCode
3629438
Title
Threshold potential optimization in the Pulse Coupled Neural Network
Author
R. Forgac;I. Mokris
Author_Institution
Inst. of Inf., Slovak Acad. of Sci., Bratislava
fYear
2008
Firstpage
1
Lastpage
4
Abstract
The paper introduces an approach for threshold potential optimization in the Pulse Coupled Neural Network (PCNN) to solve the quality of generated features for image recognition tasks. Threshold potential plays very important role because it provides and controls pulse effect of PCNN. The suitable control of pulse effect can improve dimension reduction of image classification space by PCNN that is necessary for successful image recognition with high input image dimension.
Keywords
"Neural networks","Neurons","Pixel","Brain modeling","Joining processes","Pulse generation","Image recognition","Image processing","Character generation","Pattern recognition"
Publisher
ieee
Conference_Titel
Intelligent Systems and Informatics, 2008. SISY 2008. 6th International Symposium on
ISSN
1949-047X
Print_ISBN
978-1-4244-2406-1
Electronic_ISBN
1949-0488
Type
conf
DOI
10.1109/SISY.2008.4664914
Filename
4664914
Link To Document