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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:35:34 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_12051/work/macros3
Training events: 52790


#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'    [20.1977,450.947]
                        LepBEn                        LepBEn    'F'    [10.029,469.956]
                       dilmass                       dilmass    'F'    [16.0045,658.809]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [33.7775,774.197]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000171969,3.13813]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,86.3836]
                       jet2_Et                       jet2_Et    'F'    [0,49.4582]
                       dildphi                       dildphi    'F'    [0.000356376,3.14153]
                          lepR                          lepR    'F'    [0.219212,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


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

#input normalization
23.789 71.026
18.2151 43.32
31.8626 80.9519
18.3602 41.045
30.5746 128.92
0.556862 1.71736
0.404247 0.147176
9.88768 3.53485
2.8672 0.384552
0.70647 2.11947
0.610924 2.28555
1.4992 3.64843
#output normalization
1 0
#neurons weights
0.474205
-0.0143894
-0.350826
-0.157313
-0.190251
0.276635
-0.275681
0.0731468
-0.470027
0.422788
0.0880765
0.0903778
0.324746
0.936048
1.42879
-0.474398
0.465567
-0.0384273
1.90424
0.608345
1.0162
0.937748
0.228606
-1.63421
1.01683
-0.43122
-0.245896
-0.245005
0.81145
0.0124249
0.379768
-0.353801
-0.164044
0.141419
0.219557
0.0572603
0.0891504
-0.290343
#synapses weights
0.548229
0.0547609
-0.547374
0.13348
0.980036
-0.582363
-0.0829369
-0.0924935
0.0100925
0.134933
0.39192
0.262843
0.183641
0.0222917
-0.785609
-1.23021
-0.436078
0.44937
0.191929
0.189219
0.0888817
0.413909
-0.90961
-0.166275
-0.173219
-0.0525284
-0.468674
-0.510879
-0.897268
1.60447
-0.450223
0.217411
0.124755
1.57474
-1.04722
0.120643
1.39794
0.602325
0.785131
0.511645
0.927442
-0.379239
0.254661
0.298759
-0.300252
-0.527439
-0.0943793
-0.262444
0.430527
0.296645
0.0738956
-0.27705
-0.582798
-0.126906
-0.0204707
-0.799098
0.0644925
1.01287
0.132758
0.669859
-0.0605484
0.994787
0.249931
-0.113004
0.532143
-0.416636
0.312016
-0.201393
-0.100705
-1.39556
0.534049
0.356827
-0.261521
-0.0975844
-0.582366
-0.605602
-1.47618
-0.0230296
0.315924
0.0754446
0.0760188
0.459918
-1.30192
0.361218
0.103809
-0.00765194
-0.661645
-0.133229
-1.20839
-0.0191968
-0.173066
0.526561
-0.0985474
0.356318
0.230685
0.186515
0.134123
0.0629999
0.0974904
0.964153
-0.0723397
-0.112147
-0.815762
-0.137553
0.187074
0.297249
1.43251
0.446156
-1.17654
0.845698
-0.489802
-0.0583468
-0.62062
0.144437
0.137525
0.363686
-0.170222
0.287016
-1.23429
-0.409243
0.338858
0.463794
1.25983
-0.0296721
0.69658
0.493163
0.0544007
-0.0585503
0.184912
-0.75451
1.51148
0.108568
0.0958119
0.278964
0.792748
-1.23274
1.29723
0.205344
0.0256756
0.298622
0.113211
-0.794938
-0.805086
-0.242161
-0.139228
-0.00563451
-1.45725
0.588497
0.311215
0.570443
0.398509
0.0925054
-0.0342273
-0.089659
-0.95105
-0.0473938
0.457386
0.210969
0.391847
0.0790328
0.164521
0.392719
0.263179
0.195667
0.446541
0.0603126
0.299401
0.337522
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0.924299
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0.0108673
0.250977
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0.401697
0.0978483
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-0.238285
0.254578
0.533557
1.27882
-0.473948
-0.610255
0.113596
-0.711405
0.524712
0.168706
0.202463
0.236491
0.0195844
-0.0680693
1.15473
0.133035
-0.78754
0.0281847
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0.806883
0.159347
0.831762
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0.509374
-0.246543
0.145812
0.0883019
-0.210532
0.280675
0.835115
1.77196
-0.772213
1.01956
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1.97136
1.19352
-0.520068
0.652662
0.0785175
-1.27577
0.708894
0.0338301
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-0.672633
0.429147
-0.288912
-1.38409
-0.325426
-0.497037
0.409954
-1.04058
-1.40379
-0.518179
0.728578
1.12404
-1.35397
-0.833526
0.275899
-0.416131
0.457102
-1.33384
-0.710918
0.250304
-1.21474
0.343063
0.43722
0.65817
-0.37642
0.678509
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-0.123585
-0.114595
0.349368
-0.153882
-0.153627
0.423755
-0.452211
0.11186
0.122535
-0.157067
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0.61791
-0.396891
0.110953
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0.16339
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0.214141
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0.248365
0.449903
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0.384786
0.403809
0.325669
0.048293
0.377255
0.582861
0.0900646
0.0657848
0.0493925
0.288912
0.230191
0.0336894
0.0880804
-0.127653
0.0453521
-0.357093
-0.223942
-0.108132
-0.143065
-0.143435
0.281946
0.381502
0.123311
-0.185701
0.278087
-0.143956
0.10985
0.141446
-0.151917
-0.376576
-0.269831
0.429587
-0.0216456
-0.410942
-0.336314
0.192349
0.286707
0.613643
0.988494
-1.15364
1.62917
-1.94888
1.1191
-0.641217
-0.81611
-0.544826
0.024564
-0.40877