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| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/SLP/misc/confiance.m | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/SLP/misc/confiance.m')
| -rw-r--r-- | sourcecodes/bnt-master/SLP/misc/confiance.m | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/SLP/misc/confiance.m b/sourcecodes/bnt-master/SLP/misc/confiance.m new file mode 100644 index 00000000..a9416bf8 --- /dev/null +++ b/sourcecodes/bnt-master/SLP/misc/confiance.m @@ -0,0 +1,16 @@ +function [I, J] = confiance(t, N) +% Compute the 95 percent confident interval +% +% see Y. Bennani and F. Bossaert, +% Predictive neural networks for traffic disturbance detection in the telephone network +% In Proceedings of IMACS-CESA 1996, Lille, France. + +Z = 1.96; % this value for the 95 percent confident interval +T = t/100; +tmp = (Z*Z)/N; +D = 1+tmp; +N1 = T+tmp/2; +tmp2 = T*(1-T)/N + tmp/(4*N); +N2 = Z*sqrt(tmp2); +I = 100*(N1-N2)/D; +J = 100*(N1+N2)/D; |
