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

Method : TMlpANN
Creator: cafuser5
Date   : Thu Feb  1 05:41:02 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_12244/work/macros3
Training events: 43710


#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'    [20.0814,496.178]
                        LepBEn                        LepBEn    'F'    [10.0847,363.968]
                       dilmass                       dilmass    'F'    [16.0005,768.924]
                        metmag                        metmag    'F'    [0.400494,316.531]
                         addEt                         addEt    'F'    [36.2252,819.796]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.1346]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,97.6404]
                       jet2_Et                       jet2_Et    'F'    [0,43.2622]
                       dildphi                       dildphi    'F'    [0.000436791,3.14153]
                          lepR                          lepR    'F'    [0.400583,3.57078]
                        metsig                        metsig    'F'    [0.0352546,15.6635]


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

#input normalization
17.714 51.424
13.637 31.7324
30.5093 66.488
26.613 25.7375
37.7511 103.652
0.576609 1.6989
0.51547 0.644504
10.9931 13.026
2.77291 0.366504
0.899629 2.27751
0.801533 2.36077
2.34125 2.24893
#output normalization
1 0
#neurons weights
-0.472937
0.474309
-0.441254
-0.497785
0.381818
0.387578
-0.298858
0.0633234
-0.423213
0.367405
0.139605
0.494485
-0.375317
0.358539
0.810766
0.499096
-1.38196
0.0846517
-1.1397
-0.36952
0.120909
0.535023
0.230314
-0.908173
-1.29564
-0.0556074
-0.0509821
0.233745
-0.129366
0.192552
0.304178
-0.0151677
0.450356
0.271003
0.654734
-0.455332
0.0727271
0.24406
#synapses weights
0.0665788
0.0558335
1.07239
-0.210656
-0.270024
-0.498296
-0.407259
-0.0803175
-0.0820832
0.217813
0.325235
-0.480084
0.919918
0.0312433
0.347539
0.000510596
0.115195
-0.741996
0.0557814
0.4585
0.258979
0.658681
0.00260595
0.0322857
-0.773203
-0.232795
-1.05276
-0.392767
-1.49262
-0.0394542
0.16318
0.437956
0.117214
0.224694
-0.902137
0.240192
0.490963
-0.174865
0.0209343
-0.805308
0.096524
0.650834
-0.190028
-0.697602
-0.411626
0.0607305
-0.161114
-0.409582
0.34689
0.0896155
0.923346
0.00644162
1.0816
-0.0353036
0.527804
-0.193403
0.0348225
-1.06065
0.49451
0.184701
-0.18593
0.187775
-0.491544
-0.692989
-0.675698
-0.289603
0.209012
0.169844
0.0393142
0.284893
-1.27667
-0.158169
0.470058
-0.478024
0.471911
0.778317
1.63554
-0.907919
-0.154154
0.330836
-0.0263942
-0.304653
-0.0482005
-0.817342
-0.690521
0.477348
-1.1029
-0.241134
-0.65337
0.492325
0.476366
0.5455
0.762651
-0.560932
-0.676614
-0.00531548
0.969702
-0.0638833
0.372822
-0.958502
0.068748
0.387718
-0.442019
0.310133
0.0581538
-0.426188
0.147483
-0.55685
0.506035
-0.57447
-0.363055
-0.458074
1.99743
-0.52031
-0.253166
-0.0588054
0.0386397
-0.0865977
0.212795
0.411496
-0.869581
1.12618
1.25618
0.608199
0.992048
-0.443852
-0.18055
-0.154756
0.133983
-1.04476
1.05039
0.0890083
0.827674
-0.915371
0.895993
0.284429
0.67166
-0.258403
-1.06212
0.00808714
0.104137
0.355938
0.397579
0.594551
0.244242
0.485236
-0.365342
-0.269041
0.684773
0.339964
0.492721
0.36296
0.0990305
-1.67719
-0.280298
-0.263859
-0.395969
-0.241122
1.09496
-0.893725
-1.08795
0.676469
-1.04293
0.510136
0.279825
0.669038
0.641911
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0.0923474
0.801619
0.824893
-0.386753
0.124855
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0.86645
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0.419819
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-0.882102
0.510619
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0.432057
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0.528416
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0.175865
0.192189
0.0261268
-0.0476257
-0.472542
0.250007
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0.153762
-0.178997
0.365641
0.13171
-0.00413817
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0.208706
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0.295911
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0.401196
0.181563
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0.51716
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-0.738285
-0.385536
-0.59965
0.125597
0.0743423
-0.267628
0.350476
0.763616
0.164318
-0.893003
0.603604
-0.863923
0.691804
-0.339156
0.678221
-0.504351
-0.493595
0.158505
0.0201725
-0.00131851
0.543279
0.321805
-0.594135
0.285819
-0.420379
-0.382803
0.0898288
0.990742
-0.8226
-0.583849
0.154309
0.48362
0.124538
0.124334
0.0338065
0.332032
0.313173
0.548012
0.271917
-0.0341215
-0.356313
0.441176
0.547239
0.489362
0.921153
0.842479
-0.342229
0.357747
0.384656
-0.352276
1.05905
-0.0807303
0.00392452
-0.571082
-0.43265
0.882632
-0.822284
0.0317442
0.681606
0.572582
0.305516
-1.20702
0.923494
-0.407616
-0.354106
0.25818
1.49249
-0.558421
0.333783
-0.627206
-0.472493
-0.596605
0.451554
0.245463
0.160598
-0.520197
0.0604338
0.379339
-1.42229
-0.15347
-0.798977
0.45375
0.195627
0.375984
0.257389
0.870003
0.61126
-1.03497
1.57626
-0.647178
1.19643
0.0106166
-0.609646
-0.621157
-0.481541
-1.08809
1.07472
-0.386636
-0.286635
0.0675848
-0.338751
0.688804
0.731349
-0.130498
-0.983635
1.59707
-1.32176
-1.89991