Title :
Fuzzy cellular neural networks: theory
Author :
Yang, Tao ; Yang, Lin-Bao ; Chai Wah Wu ; Chua, Leon O.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Fuzzy cellular neural networks (FCNN) are novel classes of cellular neural networks. In this paper, the basic theory of FCNN is presented. FCNN is a generalization of CNN by using fuzzy operations in the synaptic law calculation allowing us to combine the low level information processing capability of CNNs with the high level information processing capability, such as image understanding, of fuzzy systems. The FCNN structures are based on the uncertainties in human cognitive processes and in modeling neural systems, and provide an interface between the human expert and the classical CNN
Keywords :
cellular neural nets; fuzzy neural nets; stability; fuzzy cellular neural networks; fuzzy operations; high level information processing capability; human cognitive processes; low level information processing capability; synaptic law; uncertainties; Cellular networks; Cellular neural networks; Computer networks; Fuzzy neural networks; Fuzzy systems; Humans; Information processing; Laboratories; Lyapunov method; Uncertainty;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566545
