An algebraic construct method for cellular neural networks

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.