DocumentCode :
2515956
Title :
A reconfigurable architecture mapping multilayer CNN paradigms
Author :
Raffo, Luigi ; Sabatini, Silvio P. ; Bisio, Giacormo M.
Author_Institution :
Istituto di Elettrotecnica, Cagliari Univ., Italy
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
393
Lastpage :
398
Abstract :
A digital VLSI implementation of linear template cellular neural nets (CNNs) is presented. A reconfigurable architecture is organized as 12 layers of 64×64 cells. The CNNs are reformulated introducing sets of generalized cloning templates to enucleate more sharply the structure of both intra- and inter-layer cooperative computations. In this way it is possible to develop CNN algorithms for complex vision machine tasks. Various applications are considered in edge and connected component detection and in texture segregation
Keywords :
VLSI; cellular neural nets; multilayer perceptrons; reconfigurable architectures; complex vision machine tasks; connected component detection; digital VLSI implementation; generalized cloning templates; linear template cellular neural nets; reconfigurable architecture mapping multilayer CNN paradigms; texture segregation; Cellular neural networks; Cloning; Computer architecture; Concurrent computing; Face; Hardware; Neural networks; Nonhomogeneous media; Reconfigurable architectures; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
Type :
conf
DOI :
10.1109/CNNA.1994.381643
Filename :
381643
Link To Document :
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