Title :
An algebraic construct method for cellular neural networks
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fDate :
30 Apr-3 May 1995
Abstract :
An algebraic method for construction of a cellular neural network (CNN) is derived in this paper. Using this method, CNNs for connected component detection and maze are given in detail. Because the transition of states is included in the algebraic equations during the construction of the network, the network arrives at a unique solution in either a synchronous or an asychronous operation process, and the solution is stable
Keywords :
VLSI; cellular neural nets; delays; network topology; algebraic construct method; asychronous operation process; cellular neural networks; connected component detection; maze; state transition; synchronous operation process; Cellular networks; Cellular neural networks; Detectors; Equations; Image processing; Integrated circuit interconnections; LAN interconnection; Neural networks; Pattern recognition; Signal processing;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521597
