Title :
Summing networks using neural optimisation concept
Author :
Zurada, J.M. ; Kang, M.J.
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
fDate :
5/12/1988 12:00:00 AM
Abstract :
A neural network structure able to perform operations of analogue and binary addition is proposed. The network employs Hopfield´s model of a neuron with connection elements specified based on analysis of the energy function. Simulation using NMOS neurons has shown convergence predominantly to the correct global minima
Keywords :
digital integrated circuits; field effect integrated circuits; linear integrated circuits; neural nets; optimisation; summing circuits; Hopfield´s model; NMOS neurons; analogue networks; binary addition; connection elements; convergence; energy function; global minima; neural network structure; neural optimisation; neuron; simulation; summing networks;
Journal_Title :
Electronics Letters
