DocumentCode
2964119
Title
Output characteristics of cellular neural networks using mixture template
Author
Inoue, Takashi ; Nakano, Masaru ; Nishio, Yoshifumi
Author_Institution
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima
fYear
2008
fDate
1-8 June 2008
Firstpage
4125
Lastpage
4130
Abstract
In this research, we propose cellular neural networks using mixture template as an example of space-varying cellular neural networks. As the first step of the investigation of such complex nonlinear circuit networks, we propose two mixing methods of the templates and investigate the output characteristics of the simple image processing with a binary image and a grayscale image by computer simulations.
Keywords
cellular neural nets; image processing; nonlinear equations; binary image; computer simulations; grayscale image; image processing; mixture template; nonlinear circuit networks; space-varying cellular neural networks; Animal structures; Cellular neural networks; Circuit simulation; Computational modeling; Computer simulation; Gray-scale; Image processing; Neural networks; Nonlinear circuits; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634392
Filename
4634392
Link To Document