Title :
Worst-case convergence times for Hopfield memories
Author_Institution :
Dept. of Comput. Sci., Helsinki Univ., Finland
fDate :
9/1/1991 12:00:00 AM
Abstract :
The worst-case upper bound on the convergence time of Hopfield associative memories is improved to half of its previously known value. Also, the consequences of allowing `don´t know´ bits in both the input and the output are considered
Keywords :
content-addressable storage; convergence; neural nets; Hopfield memories; associative memories; convergence time; neural nets; worst-case upper bound; Associative memory; Computer networks; Computer science; Convergence; Hopfield neural networks; Lyapunov method; Neural networks; Symmetric matrices; Tensile stress; Upper bound;
Journal_Title :
Neural Networks, IEEE Transactions on
