#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:12:44 2007
Host   : Linux patlx3.fnal.gov 2.4.21-37.ELsmp #1 SMP Wed Sep 28 12:13:44 CDT 2005 i686 i686 i386 GNU/Linux
Dir    : /fbsng/condor_local/execute/dir_11127/work/macros3
Training events: 28508


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
V: False [verbose flag]
NCycles: 200 [Number of training cycles]
HiddenLayers: "N+1,N" [Specification of the hidden layers]
# Default:
D: False [use-decorrelated-variables flag (for backward compatibility, please switch to Preprocess)]
Preprocess: "None" [Variable Decorrelation Method]
PreprocessType: "Signal" [Use signal or background for Preprocess]
H: False [help flag]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 12
                        LepAEn                        LepAEn    'F'    [20.4661,439.104]
                        LepBEn                        LepBEn    'F'    [10.029,357.837]
                       dilmass                       dilmass    'F'    [16.0022,607.878]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [36.1854,622.312]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000171969,3.1352]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,77.1336]
                       jet2_Et                       jet2_Et    'F'    [0,39.5696]
                       dildphi                       dildphi    'F'    [0.00016098,3.14153]
                          lepR                          lepR    'F'    [0.327018,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


#WGT -*-*-*-*-*-*-*-*-*-*-*-*- weights -*-*-*-*-*-*-*-*-*-*-*-*-

#input normalization
25.4925 48.3303
22.8411 54.1117
31.2165 68.8279
17.1238 35.7344
32.4902 106.12
0.563489 1.70248
0.403635 0.146152
9.78334 3.48216
2.82918 0.380795
0.70241 2.03974
0.682981 2.3431
1.44981 3.19374
#output normalization
1 0
#neurons weights
0.345665
-0.489874
-0.244785
0.0696181
-0.187934
0.125656
0.26546
0.340333
0.00038032
0.424607
-0.367999
-0.0205018
-0.0973806
0.878579
0.456098
6.15889
-1.12173
-0.303108
-0.642998
-0.572565
0.309099
0.407768
-0.431183
0.168891
-0.981012
-0.343434
-0.432772
-0.154185
-0.135036
-1.11601
-0.472383
-0.497999
0.453398
-0.269518
-0.51046
0.112665
-0.67374
0.669861
#synapses weights
-0.693833
-0.0139496
-0.450778
-0.0858589
0.0513955
0.408652
-0.266915
0.205112
-0.389637
-0.273265
0.0329246
0.48892
0.590164
-0.976348
-1.57656
0.153527
-0.47286
-0.802619
0.0106859
0.279234
-0.18093
0.377808
-0.631553
-0.0433954
0.463359
-0.404424
-1.36511
-0.807367
-0.361123
-0.32242
0.451601
0.0283781
0.02491
-0.22426
-1.53305
-0.808477
-0.0447581
-0.0723655
-1.29394
-0.782916
-3.63644
0.213939
0.508939
-0.0511888
0.107808
1.30635
-1.69011
-0.521961
0.486979
-0.722909
1.08705
-0.824372
1.31516
-0.535316
-0.335616
-0.502608
0.0617931
-0.105108
-0.0651421
0.910503
-0.212213
0.395349
-1.22228
0.43795
-0.361567
-0.00750878
-0.169157
-0.0992806
-0.325606
-0.0392925
0.158975
-0.632661
0.38194
-0.0516575
-1.09508
-0.910327
-0.552875
0.850599
-0.810496
-1.10747
-0.146533
1.60837
-0.435469
0.445075
-0.244504
0.243878
2.31691
-0.816356
-1.70919
-0.082731
-0.454139
0.455238
0.121269
0.670737
-1.0148
1.17213
1.51344
-0.562513
0.602229
0.0935513
-0.00952414
0.165324
0.250889
-0.187601
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0.721153
0.365549
0.740752
0.981876
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0.038843
0.208062
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0.439553
0.0418262
0.201257
0.238869
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0.907442
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0.945123
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0.200858
0.235828
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0.573797
0.48079
0.828574
0.331849
0.556701
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0.401204
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0.438627
0.00602421
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0.734359
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0.4859
0.00733996
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0.339932
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0.508707
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0.0463905
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0.532753
0.862399
0.798061
0.418598
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0.296844
0.114954
1.76568
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2.68979
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0.1489
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1.08724
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0.883119
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0.300971
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0.0716201
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0.378492
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-1.03995
-0.866886
0.328213
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0.123775
0.362924
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0.308801
0.07548
-0.247595
0.136587
0.382614
0.00343769
0.425789
0.266284
0.37045
0.513466
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0.609701
0.225303
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0.441713
0.0649086
-0.78621
0.158166
0.668377
0.0683504
-0.504503
0.62108
0.636405
0.62486
0.341313
0.91945
0.261883
0.765946
0.0731362
0.482078
0.637568
0.0925922
-0.318241
0.192178
-0.0720791
-0.408835
-0.54776
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-0.434611
-0.630095
0.513013
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1.55496
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0.34553
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0.351989
-0.642126
0.845659