<s>
In	O
artificial	B-Architecture
neural	I-Architecture
networks	I-Architecture
,	O
a	O
hybrid	B-Algorithm
Kohonen	I-Algorithm
self-organizing	I-Algorithm
map	I-Algorithm
is	O
a	O
type	O
of	O
self-organizing	B-Algorithm
map	I-Algorithm
(	O
SOM	O
)	O
named	O
for	O
the	O
Finnish	O
professor	O
Teuvo	O
Kohonen	B-Algorithm
,	O
where	O
the	O
network	O
architecture	O
consists	O
of	O
an	O
input	O
layer	O
fully	O
connected	O
to	O
a	O
2	O
–	O
D	O
SOM	O
or	O
Kohonen	B-Algorithm
layer	O
.	O
</s>
<s>
The	O
output	O
from	O
the	O
Kohonen	B-Algorithm
layer	O
,	O
which	O
is	O
the	O
winning	O
neuron	O
,	O
feeds	O
into	O
a	O
hidden	O
layer	O
and	O
finally	O
into	O
an	O
output	O
layer	O
.	O
</s>
<s>
hybrid	B-Algorithm
Kohonen	I-Algorithm
SOM	I-Algorithm
.	O
</s>
<s>
The	O
hybrid	B-Algorithm
Kohonen	I-Algorithm
SOM	I-Algorithm
was	O
first	O
applied	O
to	O
machine	B-General_Concept
vision	I-General_Concept
systems	O
for	O
image	O
classification	O
and	O
recognition	O
.	O
</s>
<s>
Hybrid	B-Algorithm
Kohonen	I-Algorithm
SOM	I-Algorithm
has	O
been	O
used	O
in	O
weather	O
prediction	O
and	O
especially	O
in	O
forecasting	O
stock	O
prices	O
,	O
which	O
has	O
made	O
a	O
challenging	O
task	O
considerably	O
easier	O
.	O
</s>
<s>
It	O
is	O
fast	O
and	O
efficient	O
with	O
less	O
classification	O
error	O
,	O
hence	O
is	O
a	O
better	O
predictor	O
,	O
when	O
compared	O
to	O
Kohonen	B-Algorithm
SOM	O
and	O
backpropagation	B-Algorithm
networks	O
.	O
</s>
