A time-multiplexing simulator for cellular neural network (CNN)

被引:0
|
作者
EL-Shafei, AAH [1 ]
Sobhy, MI [1 ]
机构
[1] Univ Kent, Elect Engn Labs, Canterbury CT2 7NT, Kent, England
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A CNN simulator and a Time-Multiplexing algorithm implementation are described. The model for the CNN cell is simulated by SIMULINK(R) but the multiplexing algorithm could be used with any other implementation. The CNN cell model was tested using several templates and the test results, using Connected Components Detection templates ( CCD) are given. This simulator provides a simple and user friendly environment for studying and analyzing CNN dynamics. The, Time-Multiplexing algorithm is tested using the edge detection and CCD templates and the results are attached.
引用
收藏
页码:224 / 229
页数:4
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