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Measurement, Instrumentation, and Sensors Handbook, Second Edition, 2nd Edition
book

Measurement, Instrumentation, and Sensors Handbook, Second Edition, 2nd Edition

by John G. Webster, Halit Eren
February 2014
Intermediate to advanced content levelIntermediate to advanced
1921 pages
82h 13m
English
CRC Press
Content preview from Measurement, Instrumentation, and Sensors Handbook, Second Edition, 2nd Edition
87-21Applied Intelligence Processing
4. Use a recursive algorithm starting at the output layer and adjust the weights backward by
w t w t x
ij ij j i
( ) ( )+ = +
1
ηδ
where
w
ij
(t) is the weight from an input to node j at time t
x i
i
is either the output of node or an input
η
i
s
a g
ain
t
erm
(
0
.0 < η < 1.0)
δ
j
is an error term for node j
For
t
he
o
utput
l
ayer
l = L, t
he
e
rror
i
s
c
alculated:
δ
j
L
j
L
j j
g h d y=
( )
[ ]
where
h j
L
j
L
is the net input to the th unit in the layer
g
i
s
t
he
d
erivative
o
f
t
he
a
ctivation
f
unction
g
F
or hidden layers l = (L − 1), …, 1, the error is calculated:
δ δ
j
L
j
l
ij
l
j
l
l
g h w =
( )
+ +
1 1
where
h j
l
j
l
is the net input to the th unit in the th layer
g
i
s
t
he
d
erivative
o
f
t
he
a
ctivation
f
unction
g
5. Re
turn
to Ste
p
2 an
d
re ...
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Publisher Resources

ISBN: 9781439848913