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

Method : TMlpANN
Creator: cafuser6
Date   : Fri Feb  2 06:27:11 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_6729/work/macros3
Training events: 35592


#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'    [20.1202,439.104]
                        LepBEn                        LepBEn    'F'    [10.0283,357.837]
                       dilmass                       dilmass    'F'    [16.0011,607.878]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [35.1185,622.312]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.38396e-05,3.13783]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,61.0209]
                       jet2_Et                       jet2_Et    'F'    [0,37.704]
                       dildphi                       dildphi    'F'    [0.000157602,3.14153]
                          lepR                          lepR    'F'    [0.388255,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


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

#input normalization
28.419 73.3839
31.7812 60.6902
64.5718 117.38
14.2232 35.4196
37.3492 134.439
0.55448 1.64106
0.389997 0.13659
9.54963 3.27888
2.69255 0.3437
0.756648 2.20991
0.801906 2.58081
1.32535 3.06802
#output normalization
1 0
#neurons weights
-0.0253006
0.421595
-0.478213
-0.0197349
-0.181981
0.305479
-0.352464
0.0442514
0.104543
0.0648297
-0.238538
0.059772
0.0806288
0.219901
2.35226
-0.244967
-0.572454
-0.46997
0.740671
0.206857
0.418402
2.33774
0.262743
1.80247
0.123948
-0.294983
0.396851
-0.539751
-1.17785
-0.802593
0.0747855
0.54794
-0.491549
0.0725329
-0.656562
0.464535
-0.401187
-0.106385
#synapses weights
-0.0562119
-0.656888
0.610647
0.681782
-0.540607
-0.367317
0.67786
-0.0577303
0.00542411
0.565494
-1.01122
0.339523
0.229238
-0.183797
-2.07243
0.100947
0.722511
-1.70614
0.693101
0.481004
0.17125
-1.84244
1.54954
0.150172
0.0770006
-0.0835103
2.47565
2.84297
1.53138
0.0799646
0.110149
-0.19672
-0.0525557
-1.07745
1.2697
-2.62992
-0.373226
-0.454576
0.280747
-0.18052
-0.593259
-0.39498
-0.269848
-0.17511
0.034033
-0.274924
-0.782397
-0.131427
-0.301384
-0.396716
1.12195
-1.23356
-1.83476
0.00240539
-0.203985
0.492901
0.1499
-1.88024
-0.922914
0.136915
-0.0317938
-0.643777
-1.75592
0.169945
-0.773302
0.229946
-0.343945
0.0775429
0.33277
-0.144186
-0.258912
1.03999
-0.372941
0.607105
0.737211
-0.201257
0.87078
0.595139
0.0560764
-0.144271
0.051772
0.720887
0.491985
-1.04018
-0.432639
-0.0809783
-0.551753
-0.356732
-0.057705
0.357913
1.34833
-0.563242
0.277308
-0.719844
-0.375035
0.368391
-0.625041
0.269555
1.03089
1.02318
-0.126764
-0.340338
0.350829
-0.273099
-0.204691
0.385397
-0.270245
-0.566502
0.126355
0.0393943
3.29367
0.0681979
5.55097
0.0097984
0.533419
-0.719621
-0.478643
-1.08318
0.536579
1.06913
0.0507362
0.0046185
-0.142164
-0.121588
0.264246
0.289168
-0.238509
0.337826
0.322115
-0.666214
-0.418468
0.379708
0.444791
-0.0504677
3.24203
-1.81472
0.346192
0.164994
0.14785
-0.114057
0.107944
0.436016
0.0384867
2.28431
0.365966
-1.1035
-0.928041
0.169655
2.55873
-1.28102
0.384143
-0.568435
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0.932958
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0.604634
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0.350064
0.181775
0.203633
0.17989
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0.28367
0.360798
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0.080623
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0.0676185
0.0031996
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-1.4224
2.22928
-3.84033
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-1.59966
1.3723
-1.07056
1.54434
-1.87317
-4.99083
0.722272
-3.66284
1.64679
0.459833
0.807102
0.744511
0.128518
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-0.100044
-0.101403
-0.489569
0.262207
0.363459
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0.408331
0.230356
0.162158
0.0166573
-1.34151
0.0707717
0.562991
0.736455
-0.993669
0.384542
0.152685
-1.10364
-0.176709
-0.685956
-0.00255559
-0.0427148
-0.325933
1.10527
-0.342027
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0.137961
1.07605
0.464056
0.215915
0.762862
0.273936
0.52584
0.23601
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0.643244
0.0930553
-0.29467
0.10882
0.306108
0.468616
-0.119569
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0.134264
0.0154656
-0.382384
0.11837
-0.0825228
1.27099
-0.0552915
0.594821
-0.0926097
0.946254
0.522437
0.0303669
1.17196
0.0925593
0.328296
-0.41434
-0.129297
-0.0593865
-0.0322451
-0.0404607
-0.516468
-0.408896
0.11167
0.501572
-0.36174
0.00517154
-0.174608
0.269102
-0.438644
0.298759
-0.157269
0.0181016
1.33978
-0.00497471
1.38875
-0.832364
-0.555295
0.338937
-0.419461
0.823329
-0.0521222