DocumentCode
3442407
Title
The back propagation method for CNN
Author
Mizutani, Hikaru
Author_Institution
Dept. of Electr. Eng., Shonan Inst. of Technol., Fujisawa, Japan
Volume
6
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
463
Abstract
In this paper, a new back propagation method is presented. The method does not require a sigmoid function but a simple piecewise-linear function for the neurons. Because a cellular neural network (CNN) is able to use this kind of simple nonlinear function, the presented method may be applied to CNNs. Also the presented method can be applied not only to CNNs but also to any multilayer type neural network. The simple piecewise-linear function has the advantage that computing the function or fabricating systems using the function is easier than that using the sigmoid function
Keywords
backpropagation; cellular neural nets; piecewise-linear techniques; CNN; backpropagation method; cellular neural network; multilayer type neural network; neurons; piecewise-linear function; Backpropagation algorithms; Cellular neural networks; Computer networks; Feeds; Gold; Hopfield neural networks; Multi-layer neural network; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.409626
Filename
409626
Link To Document