This paper studies mainly the dynamical behaviour of a cellular neural network. The dynamical property is controlled via adjusting the weight parameters of the system. The results indicate the structure of the attractor depends sensitively on the alteration of a parameter, and the dynamical behaviour of the cellular neural network shows the chaotic attractor with a larger extent of parameters.