Fault Tolerance for Small-World Cellular Neural Networks

In this paper, we propose a mechanism for fault tolerance for Small-World Cellular Neural Networks (SWCNN). Small-world networks exist in the range between regular and random networks. SWCNN is a Cellular Neural Network (CNN) that has small-world network structure and has better performance than CNN. SWCNN needs to be fault tolerant because it has higher levels of error propagation than CNN.