Annexe 2 - Statistical functions for validation of the SANNs
x(p) is the generic output component for the p-th input pattern, and the correspondent
target is t(p). M is the number of patterns considered for the statistical measure.
Root Mean Squared Error (RMSE), evaluating the squared root of the semi-mean of the squared prediction errors:
1M
RMSE =
2M∑ ∑( x(p )-t ( p ))2
Ï p=1
Normalized Root Mean Squared Error (NMSE), evaluating the squared root of the mean of the squared prediction
errors, where target and output values was before normalized between 0 and 1:
1M
NMSE = λ--∑
VM z^1
Ï p=1
x(p) - min k {x(k)}
min k {x(k)}- max k {x(k)}
t(p) - min k {t(k)} J ∣
min k {t(k)}- max k {t(k)}JJ
Real Error (ERR) evaluating the mean of the prediction error:
1M
ERR = -M ∑(χ ( p ) -1 ( p )) ■
M p =1
Relative Error (ABSERR) evaluating the mean of the absolute prediction errors:
1M
ABSERR = -- ∑ ∣x( p ) -1 ( p )∣ .
M p =1
Squared R (R2), evaluating the squared of the linear correlation coefficient between target and prediction values:
R2
M (( ( 1 M Y ∑ *p)-lM∑x(k)J p=1Vk k k=1 jJ |
ʌ 2 ( ( 1 M Yfl k t ( p )-k Mi∑;( k ) JJJ | |
U |
2 M ( ( 1 M ll ∑xp)-l M ∑x(k)J 4 |
2J M( (1 M ll J ∑ t(p )-l -M ∑t ( k ) J |
20
More intriguing information
1. Testing Hypotheses in an I(2) Model with Applications to the Persistent Long Swings in the Dmk/$ Rate2. GENE EXPRESSION AND ITS DISCONTENTS Developmental disorders as dysfunctions of epigenetic cognition
3. Family, social security and social insurance: General remarks and the present discussion in Germany as a case study
4. THE WAEA -- WHICH NICHE IN THE PROFESSION?
5. Developmental changes in the theta response system: a single sweep analysis
6. The name is absent
7. Incorporating global skills within UK higher education of engineers
8. SAEA EDITOR'S REPORT, FEBRUARY 1988
9. The name is absent
10. Natural Resources: Curse or Blessing?