DocumentCode :
2741744
Title :
A VLSI and WSI systolic architecture for multilayer feed-forward networks of arbitrary size
Author :
Barro, S. ; Yanez, A.
Author_Institution :
Dept. Electron., Univ. de Santiago de Compostela, Spain
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given, as follows. The authors discuss a systolic architecture for the VLSI and WSI (wafer scale integration) implementation of multilayer feedforward networks in which the simplicity of the processing elements facilitates their integration. This architecture permits parallel and/or cascade connections of multiple base modules without the need of additional hardware. This way, interconnecting many chips for a complete system, one can implement structures with a large number of layers and neurodes per layer and their performance can be improved
Keywords :
VLSI; neural nets; parallel architectures; systolic arrays; VLSI; cascade connections; multilayer feedforward networks; multiple base modules; neurodes; parallel connections; performance; systolic architecture; wafer scale integration; Acceleration; Artificial intelligence; Artificial neural networks; Feedforward systems; Hardware; Nonhomogeneous media; Parallel algorithms; Parallel processing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
Type :
conf
DOI :
10.1109/IJCNN.1991.155574
Filename :
155574
Link To Document :
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