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8
6
4
2
0
−2
−4
−6
−8
−10
−8
−6
−4
−2
0
2
4
6
8
10
x
Fig. 12.5
Approximation of the test function of Eq. (
12.23
)(
dashed line
), using a feed-forward
neural network with Hermite basis functions
8
6
4
2
0
−2
−4
−6
−8
−10
−8
−6
−4
−2
0
2
4
6
8
10
iterations
Fig. 12.6
Approximation of the test function of Eq. (
12.23
)(
dashed line
), using a one hidden layer
FNN with sigmoidal basis functions
algorithm [
78
]. Alternatively, second order (Newton) training methods can be used
[
118
].
The following test functions are examined (dashed red lines):
