Title :
Terminal dynamics approach to cellular neural networks
Author :
Mladenov, Valeri ; Hegt, Hails ; Roermund, Arthur Vaiz
Author_Institution :
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
Abstract :
This paper considers Cellular Neural Networks (CNNs) based on the paradigm of terminal dynamics. They are presented as unpredictable systems, and it is shown that sign strings at the critical points are able to control them. A CNN is able to reproduce a prescribed behavior with a prescribed accuracy by changing a combination of signs, related to interconnections between neighboring neurons. The design approach of CNN template coefficients is considered as well
Keywords :
cellular neural nets; interconnections; CNN template coefficients; cellular neural networks; critical points; interconnections; neighboring neurons; sign strings; terminal dynamics approach; unpredictable systems; Artificial neural networks; Biological system modeling; Biological systems; Biology computing; Cellular neural networks; Computer networks; Control systems; Microelectronics; Neural networks; Neurons;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921255
