DocumentCode :
2351484
Title :
Realization of a mixed-mode neural coprocessor for signal processing
Author :
Romariz, A.R.S. ; Ferreira, P.U.A. ; Campêlo, J.V., Jr. ; Graciano, M.L., Jr. ; Maia, O.R., Jr. ; da Costa, J.C.
Author_Institution :
Dept. de Engenharia Eletrica, Brasilia Univ., Brazil
fYear :
1998
fDate :
9-11 Dec 1998
Firstpage :
180
Lastpage :
185
Abstract :
A hybrid architecture for neural coprocessing is presented. A fixed set of analog multipliers and capacitors (analog memory) emulates multilayer perceptrons through digitally-controlled multiplexing. Parallelism is partially preserved, then, without direct analog implementation of the whole structure. Details of system VLSI implementation are given, along with simulation results that validate system cells design
Keywords :
CMOS integrated circuits; VLSI; analogue multipliers; mixed analogue-digital integrated circuits; multilayer perceptrons; multiplexing; neural chips; neural net architecture; signal processing; CMOS IC; VLSI; analog multipliers; digital multiplexing; hybrid architecture; mixed-mode neural coprocessor; multilayer perceptrons; signal processing; Analog memory; Capacitors; Concurrent computing; Coprocessors; Multilayer perceptrons; Neural networks; Neurons; Parallel processing; Pipelines; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
Type :
conf
DOI :
10.1109/SBRN.1998.731023
Filename :
731023
Link To Document :
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