Title :
Cellular neural network design with continuous signals
Author :
Schwarz, Stephan ; Mathis, Wolfgang
Author_Institution :
Dept. of Electr. Eng., Wuppertal Univ., Germany
Abstract :
Basic design methods for the class of cellular neural networks (CNNs) with continuous input signals are introduced. The realistic model of CNNs proposed by L.O. Chua and L. Yang (1988) combines components of the Hopfield-net, cellular automata, and of cellular systems. The CNN design methods integrate special conditions for technical architectures with respect to real-time implementations. Hacijan´s polynomial solution method is applied to solve the set of linear inequalities which correspond with the CNN design
Keywords :
image processing; linear programming; neural nets; polynomials; CNN; Hopfield-net; cellular automata; cellular neural networks; continuous signals; design; linear inequalities; polynomial; Cellular neural networks; Circuit synthesis; Cloning; Computer networks; Delay; Design methodology; Nonlinear equations; Output feedback; Polynomials; Signal design;
Conference_Titel :
Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7803-0875-1
DOI :
10.1109/CNNA.1992.274333
