Neural Network Toolbox |
Syntax
Description
linkdist
is a layer distance function used to find the distances between the layer's neurons given their positions.
linkdist
(pos) takes one argument,
and returns the S
x S
matrix of distances.
Examples
Here we define a random matrix of positions for 10 neurons arranged in three- dimensional space and find their distances.
Network Use
You can create a standard network that uses linkdist
as a distance function by calling newsom
.
To change a network so that a layer's topology uses linkdist
, set net.layers{i}.distanceFcn
to 'linkdist
'.
In either case, call sim
to simulate the network with dist
. See newsom
for training and adaption examples.
Algorithm
The link distance D
between two position vectors Pi
and Pj
from a set of S
vectors is
Dij = 0, if i==j = 1, if (sum((Pi-Pj).^2)).^0.5 is <= 1 = 2, if k exists, Dik = Dkj = 1 = 3, if k1, k2 exist, Dik1 = Dk1k2 = Dk2j = 1 = N, if k1..kN exist, Dik1 = Dk1k2 = ...= DkNj = 1 = S, if none of the above conditions apply.
See Also
learnwh | logsig |
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