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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 04:38:49 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_5709/work/macros3
Training events: 38642


#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'    [16.0014,768.924]
                        metmag                        metmag    'F'    [0.128614,316.531]
                         addEt                         addEt    'F'    [36.6654,819.796]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.13694]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,81.0944]
                       jet2_Et                       jet2_Et    'F'    [0,44.0714]
                       dildphi                       dildphi    'F'    [4.98044e-05,3.14152]
                          lepR                          lepR    'F'    [0.400418,3.57078]
                        metsig                        metsig    'F'    [0.00923804,15.6635]


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

#input normalization
20.0012 65.9654
13.6124 33.661
30.1644 70.4123
16.5861 45.7621
30.8626 130.994
0.608275 1.47592
0.408923 0.149995
9.88005 3.56477
2.88955 0.39844
0.722383 2.08595
0.635349 2.17103
1.53355 3.53462
#output normalization
1 0
#neurons weights
-0.0235807
0.474493
0.0154254
0.260366
-0.465382
-0.35756
-0.447647
-0.278949
0.0206394
0.251345
0.101954
-0.209232
2.21631
1.16863
-0.545753
-3.30035
0.842794
0.317874
0.42678
-0.181791
-0.550639
-0.0230703
-0.0839511
0.106892
-1.59848
-0.433654
0.384386
-0.108
-0.338954
0.268204
-0.516677
0.271117
0.169664
0.00889113
0.79098
0.209917
-0.222362
0.532487
#synapses weights
0.386183
-0.81564
-1.25586
-1.56689
1.87891
-0.628909
-0.202117
-0.22516
0.122165
0.168191
0.718382
1.30289
-0.161444
-0.0572233
0.746398
0.223149
-1.09789
-0.538521
-0.247817
-0.320591
-0.739834
1.6791
0.637233
0.353875
0.349316
-0.20733
0.217155
0.233512
0.271572
0.0952071
-0.143701
-0.106779
-0.436492
-0.385197
-0.320491
0.567209
0.423029
-0.76164
0.513278
0.173045
2.67876
-0.576821
-0.0861536
-0.227586
-0.104152
-0.447748
1.39376
-0.040772
0.0747725
-0.145815
-0.71538
-0.886801
-0.82182
0.252365
0.2821
-0.140043
-0.839787
0.371791
-0.48413
-0.608249
-0.895462
-0.0892895
-0.240887
0.0771523
-0.298448
1.15268
-0.0414281
-0.360067
-0.210849
0.495596
-0.404698
-0.947489
-0.0643689
-0.288398
0.283209
0.847722
-0.874643
0.0958131
-0.899545
-0.759443
-0.428896
0.817418
0.524851
1.0688
0.840028
-0.375626
0.210264
0.942448
0.854548
-0.436157
0.000426411
-0.47248
-0.14316
0.183472
1.05665
0.405391
0.129324
-0.894535
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0.268308
0.731474
-0.314453
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0.788403
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0.168211
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0.255283
-0.684824
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0.0422422
0.369056
0.316126
-0.826352
-1.1054
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0.193264
0.18202
-0.599242
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0.280731
0.424297
-0.260522
0.201502
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-0.413288
0.944471
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0.209525
-1.11171
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-1.23684
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0.100089
0.462578
0.0191433
0.219772
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0.398938
0.535223
-0.557065
1.08322
0.281852
0.173802
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0.438904
1.14023
1.13108
0.0197871
0.523535
0.197328
0.421576
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0.196294
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0.279191
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0.366889
0.409189
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0.435213
0.886185
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0.149718
0.214452
0.132645
0.276241
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0.296339
0.0817569
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0.187547
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0.063936
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0.0955625
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1.7109
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0.618599
0.636777
-1.1388
1.33924
-0.132079
1.26664
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0.461871
1.1933
0.20565
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0.394742
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0.194803
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-0.185416
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0.351273
0.130916
0.0546724
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-1.97534
0.599061
0.562239
2.65471
0.374083
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0.833138
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1.74347
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-0.950105
1.79876
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0.917871
0.959036
0.044481
0.0477369
0.151792
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0.654463
0.0640517
0.646373
-0.139128
0.061934
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0.320092
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0.158994
-0.101448
-0.504116
-0.312161
-0.126899
0.467738
-0.362886
-0.440755
0.150665
0.629838
0.0214362
0.11747
0.355946
0.0744961
-0.392942
-0.19244
-0.12334
-0.290913
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-0.573333
0.292459
0.8181
1.03924
0.377045
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-1.59499
0.843737
0.430945
0.0954006