I
NSTANCE
:
An
n
-node synchronous binary Hopfield network and a stable initial vector
of states
.
A binary Hopfield network is a complete graph where each
edge has an integer weight
and each vertex has an integer
threshold value
. At each time step
t
each vertex
has a state
.
is given by
u
and
where
is the sign function. An initial vector
of states is stable if
eventually converges for all
i
.
S
OLUTION
:
An initial vector of states
v
that either converges to a different vector
than
u
or is not stable.
M
EASURE
:
The Hamming distance between
u
and
v
.
If
v
is the vector nearest to
u
that does not converge to the same vector
as
u
, then this distance is the attraction radius.
Bad News:
Not approximable within
for any
[
109
].
Comment:
Transformation from M
INIMUM
I
NDEPENDENT
D
OMINATING
S
ET
.