DocumentCode
1838433
Title
CNN template design using back propagation algorithm
Author
Nakagawa, M. ; Inoue, T. ; Nishio, Y.
Author_Institution
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
fYear
2010
fDate
3-5 Feb. 2010
Firstpage
1
Lastpage
5
Abstract
In this article, detailed investigation of the template design method of cellular neural networks with back propagation algorithm, which was proposed by the authors before, is carried out. The performance of the method is also evaluated by using the average error which corresponds to the difference between the output produced by the designed template and the ideal output. Furthermore, the method is applied for gray scale image applications.
Keywords
backpropagation; cellular neural nets; software engineering; CNN template design; backpropagation algorithm; cellular neural network; gray scale image application; template design method; Algorithm design and analysis; Animal structures; Cellular networks; Cellular neural networks; Circuit simulation; Design engineering; Design methodology; Learning systems; Neural networks; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location
Berkeley, CA
Print_ISBN
978-1-4244-6679-5
Type
conf
DOI
10.1109/CNNA.2010.5430327
Filename
5430327
Link To Document