DocumentCode
302557
Title
About the robustness of CNN linear templates with bipolar images
Author
Paasio, Ari ; Dawidziuk, Adam ; Halonen, Kari ; Porra, Veikko
Author_Institution
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume
3
fYear
1996
fDate
12-15 May 1996
Firstpage
555
Abstract
This paper defines robustness measures for CNN linear templates. The measures are described for the normal unity gain CNN and also for a very high gain CNN. Inaccuracies in templates are next introduced and formulas for new modified measures are defined. This information can be very useful to CNN hardware designers when determining the acceptable inaccuracies in the coefficient realizations. If some template is found not to be good in presence of inaccuracies the robustness can be increased. One way to increase the defined template robustness is discussed. The increase in robustness factors are calculated and finally one example is given for the use of the described method
Keywords
VLSI; cellular neural nets; neural chips; stability; CNN linear templates; bipolar images; cellular neural networks; coefficient realizations; high gain CNN; normal unity gain CNN; robustness measures; template robustness improvement; Cellular neural networks; Electronic circuits; Gain measurement; Hardware; Robustness; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-3073-0
Type
conf
DOI
10.1109/ISCAS.1996.541656
Filename
541656
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