SLAMorris Final Thesis After Corrections.pdf - Cranfield University

Actual Fragment Type(Percentage)
Table 7-15: Method 3 Results for the unknown data set (Data Set 3)
Classification of each Fragment by Method(Percentage)
H1 H2 H3 H4 H5 H6 Total
No. 65 864 9193 3490 51532 308479778 308544922
%
2.10666E-
05
0.000280024 0.002979469 0.001131116 0.01670162 99.9788867 100
7.10.4 Method 4: Neural Network approach
Table 7-16: Method 4 Results for the Training Set (Half of Data Set 1)
H1
H2
H3
H4
H5
H6
Classification of each Fragment by Method(Percentage)
H1 H2 H3 H4 H5 H6 Total
No. 529 0 6 0 5 1069 1609
% 32.8776 0.0000 0.3729 0.0000 0.3108 66.4388 100
No. 0 236144 0 0 0 147876 384020
% 0.0000 61.4926 0.0000 0.0000 0.0000 38.5074 100
No. 0 0 2396283 0 84557 906199 3387039
% 0.0000 0.0000 70.7486 0.0000 2.4965 26.7549 100
No. 0 0 0 31693 0 0 31693
% 0.0000 0.0000 0.0000 100.0000 0.0000 0.0000 100
No. 0 0 259 0 26322 4634 31215
% 0.0000 0.0000 0.8297 0.0000 84.3248 14.8454 100
No. 637 186 9056634 1485 7596948 96156905 112812795
% 0.0006 0.0002 8.0280 0.0013 6.7341 85.2358 100
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