Designing cellular neural networks for the evaluation of local Boolean functions
Zbigniew Galias · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 1993
Describes general methods for designing a cellular neural network implementing an arbitrary Boolean function defined on the r-neighborhood. This is achieved by operating the network with time-variant 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.>