Title :
Analysis of neural algorithms for parallel architectures
Author :
Zitti, Ermanno Di ; Bisio, Giacomo M. ; Caviglia, Daniele D. ; Chirico, Marco ; Parodi, Giancarlo
Author_Institution :
DIBE, Genova Univ., Italy
Abstract :
The computational properties (global and local convergence, computational complexity and algorithm tuning) of neural algorithms are analyzed from a circuit perspective. Different equivalent algorithms are derived by applying various numerical techniques (multistep and relaxation methods) to the stationary and dynamic analysis of a common neural circuit model. Simulation experiments are presented for an 8-bit analog-to-digital-converter implementation of a Hopfield neural network. The implications for the simulation of these neural algorithms on parallel architectures are pointed out
Keywords :
computational complexity; convergence; neural nets; parallel algorithms; parallel architectures; ADC implementation; Hopfield neural network; algorithm tuning; common neural circuit model; computational complexity; computational properties; dynamic analysis; equivalent algorithms; global convergence; local convergence; multistep methods; neural algorithms; numerical techniques; parallel architectures; relaxation methods; simulation; Algorithm design and analysis; Circuit analysis; Circuit analysis computing; Circuit optimization; Circuit simulation; Computational complexity; Computational modeling; Convergence; Parallel architectures; Relaxation methods;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100813
