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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/Figures/skf.fig | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
Diffstat (limited to 'sourcecodes/bnt-master/docs/Figures/skf.fig')
| -rw-r--r-- | sourcecodes/bnt-master/docs/Figures/skf.fig | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/docs/Figures/skf.fig b/sourcecodes/bnt-master/docs/Figures/skf.fig new file mode 100644 index 00000000..85ff267f --- /dev/null +++ b/sourcecodes/bnt-master/docs/Figures/skf.fig @@ -0,0 +1,48 @@ +#FIG 3.1 +Landscape +Center +Inches +1200 2 +6 300 300 2550 3375 +5 1 0 1 -1 -1 0 0 -1 0.000 0 1 1 0 3718.581 1734.122 1725 600 1425 1725 1575 2550 + 0 0 1.00 60.00 120.00 +5 1 0 1 -1 -1 0 0 -1 0.000 0 1 1 0 2652.330 1587.076 600 600 375 1575 525 2400 + 0 0 1.00 60.00 120.00 +6 1650 1200 2250 2775 +1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 1950 2550 300 225 1950 2550 2250 2775 +1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 1950 1425 300 225 1950 1425 2250 1650 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1950 1725 1950 2250 +-6 +6 675 300 2175 750 +2 2 0 1 -1 7 0 0 -1 0.000 0 0 -1 0 0 5 + 675 300 1050 300 1050 750 675 750 675 300 +2 2 0 1 -1 7 0 0 -1 0.000 0 0 -1 0 0 5 + 1800 300 2175 300 2175 750 1800 750 1800 300 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1050 525 1800 525 +-6 +1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 825 2550 300 225 825 2550 1125 2775 +1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 825 1425 300 225 825 1425 1125 1650 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 825 750 825 1200 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1950 750 1950 1200 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1125 1425 1650 1425 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 825 1725 825 2250 +4 0 -1 0 0 0 12 0.0000 4 180 1740 750 3300 Switching Kalman filter\001 +4 0 -1 0 0 0 12 0.0000 4 165 225 750 600 Q1\001 +4 0 -1 0 0 0 12 0.0000 4 165 225 1875 600 Q2\001 +4 0 -1 0 0 0 12 0.0000 4 135 210 675 1500 X1\001 +4 0 -1 0 0 0 12 0.0000 4 135 210 1800 1500 X2\001 +4 0 -1 0 0 0 12 0.0000 4 135 225 675 2625 Y1\001 +4 0 -1 0 0 0 12 0.0000 4 135 225 1800 2625 Y2\001 +-6 |