Title :
Designing discrete-time cellular neural networks for the evaluation of local Boolean functions
Author :
Galias, Zbigniew
Author_Institution :
Dept. of Electr. Eng., Univ. of Min. & Metall., Cracow, Poland
Abstract :
General methods of designing a discrete-time cellular neural network implementing an arbitrary Boolean function defined on the r-neighborhood are described. This is achieved by operating the network with time-invariant templates as a cellular automaton that processes only binary inputs. These methods are suitable for solving local tasks. As an example, testing minimal distances is discussed
Keywords :
Boolean functions; cellular automata; neural nets; Boolean functions; binary inputs; cellular automaton; discrete-time cellular neural networks; r-neighborhood; time-invariant templates; Automata; Boolean functions; Cellular networks; Cellular neural networks; Circuit testing; Convolution; Design methodology; Large-scale systems; Nonlinear circuits; Very large scale integration;
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.1992.274332
