Title :
Associative memory design using space-varying cellular neural networks
Author :
Martinelli, Giovanni ; Perfetti, R.
Author_Institution :
Info-Com Dept., Rome Univ., Italy
Abstract :
The authors point out that space-varying cellular neural networks (CNNs) are characterized by nearest-neighbor interconnections represented by a cell-dependent connectivity matrix Aij . This biologically inspired architecture has many potential applications. Here, space-varying CNNs are used to design a cellular associative memory
Keywords :
content-addressable storage; matrix algebra; neural nets; relaxation theory; cell-dependent connectivity matrix; cellular associative memory; nearest-neighbor interconnections; space-varying cellular neural networks; Associative memory; Biology computing; Biomedical signal processing; Cellular neural networks; Cloning; Computer architecture; Computer networks; Concurrent computing; Neural networks; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7803-0875-1
DOI :
10.1109/CNNA.1992.274344
