On the Dynamics and Applications of a Discrete Time Binary Neural Network with Time Delay
S. Gardella, Toru Kumagai, R. Hashimoto, M. Wada · Journal of Intelligent & Fuzzy Systems · 1994
A model of a fully interconnected neural network composed of neurons having a refractory period and integrating the afferent signals is presented. A theoretical analysis of its dynamics is carried out, considering the general case with periodic input and output sequences from which a teaching algorithm for storing periodic sequences in the network is derived. Finally, the performances of the network are illustrated through a selected example and its potentialities, as well as its possible applications, are discussed.