DocumentCode :
2287006
Title :
A new design method for the neighborhood on improving the CNN´s efficiency
Author :
Zhang, Z. ; Namba, E.M. ; Takatori, S. ; Kawabata, H.
Author_Institution :
Ind. Technol. Center of Okayama Prefecture, Japan
fYear :
2002
fDate :
22-24 Jul 2002
Firstpage :
571
Lastpage :
578
Abstract :
Setting the optimal values of the neighborhood is an important factor for improving a CNN´s capability. In this paper, we propose a new design method for the neighborhood, which reduces the computation time while maintaining its capability. In order to examine its effectiveness, we use synthesized model patterns and confirm whether the efficiency is improved. In addition, we apply the CNN designed to diagnosing abnormal sounds and obtained very encouraging results.
Keywords :
cellular neural nets; content-addressable storage; abnormal sounds; cellular neural network; computation time; design method; optimal values; synthesized model patterns; Analog circuits; Associative memory; Cellular neural networks; Circuit synthesis; Design methodology; Differential equations; Feature extraction; Liver diseases; Network synthesis; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
Type :
conf
DOI :
10.1109/CNNA.2002.1035097
Filename :
1035097
Link To Document :
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