Title :
Analysis of Fault Tolerance of Cellular Neural Networks and Applications to Image Processing
Author :
Wang, Lidan ; Yang, Xiaofan ; Duan, Shukai
Author_Institution :
Chongqing Univ., Chongqing
Abstract :
This paper initiates the study of fault tolerant properties of faulty cellular neural networks (CNNs). A class of CNNs with single faulty cell is established, which is successfully applied to image processing: noise removing and image reversion. A series of computer simulations demonstrate CNNs have satisfied fault tolerant properties for image processing.
Keywords :
fault tolerance; image denoising; neural nets; fault tolerance analysis; faulty cellular neural networks; image processing; image reversion; noise removing; Artificial neural networks; Cellular neural networks; Circuit faults; Computer science; Computer simulation; Educational institutions; Fault tolerance; Image analysis; Image processing; Stability analysis;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.236
