Title :
Cellular neural networks for information storage and retrieval: a new design method
Author :
Grassi, Giuseppe ; Acciani, Giuseppe
Author_Institution :
Dipt. di Ingegneria, Lecce Univ., Italy
Abstract :
In this paper a new approach to information storage and retrieval using cellular neural networks is developed. The objective is achieved by considering a suitable discrete-time model of these networks and by designing them so that the input information are fed via external inputs rather than initial conditions. The technique, which exploits globally asymptotically stable networks, leads to a facilitation of their hardware implementation
Keywords :
asymptotic stability; cellular neural nets; discrete time systems; information retrieval; information storage; asymptotic stability; cellular neural networks; discrete-time model; information retrieval; information storage; Asymptotic stability; Cellular neural networks; Design methodology; Difference equations; Feedback; Information retrieval; Neural network hardware; Piecewise linear techniques; Vectors; Very large scale integration;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830750
