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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 14:17:03 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_31377/work/macros3
Training events: 69178


#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'    [20.029,463.849]
                        LepBEn                        LepBEn    'F'    [10.029,324.581]
                       dilmass                       dilmass    'F'    [6.50025,607.878]
                        metmag                        metmag    'F'    [0.0479105,397.642]
                         addEt                         addEt    'F'    [36.1854,793.018]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000114733,3.13797]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,141.192]
                       dildphi                       dildphi    'F'    [0.000116093,3.14158]
                          lepR                          lepR    'F'    [0.25659,4.18507]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
26.1454 70.4902
13.4978 34.5949
32.2224 56.6677
15.9903 49.6529
29.7096 118.658
0.754091 2.12078
0.540236 0.208211
18.8117 6.34521
5.87277 1.07849
0.748216 1.28019
0.607114 1.80709
1.50594 4.71166
#output normalization
1 0
#neurons weights
0.285288
0.316239
0.381632
-0.429517
-0.25763
0.252238
-0.0790862
-0.0841686
0.0767927
0.191955
0.159062
-0.139359
-1.06209
0.421001
-1.91185
-0.361926
-1.53883
-0.679225
-0.948353
0.775435
0.850191
-1.38441
0.605872
-4.51991
-0.416557
-0.403993
0.321137
0.203043
0.00448964
0.0195176
-0.111481
-0.00447013
-0.915467
0.284759
0.289907
-0.098638
0.211146
-0.00478935
#synapses weights
-0.42349
1.51294
-0.961233
-0.204277
-0.596157
-0.474658
0.487467
0.445689
-0.102308
0.0298596
-1.14163
-0.0996911
-0.236115
0.0423354
-0.0264997
-0.156067
-0.424081
0.618889
-0.22193
-0.31151
-0.29632
-0.00767155
0.405068
0.205953
0.688657
-0.69269
-0.236668
-0.276311
-0.171846
-1.11674
0.0854135
-0.212137
-0.260465
0.564468
-0.761292
0.761448
0.347828
0.916613
0.409551
0.495971
0.93678
-0.443191
-0.0153696
-0.898493
-0.485348
-0.412495
0.157962
1.12835
1.06595
-0.219482
0.392034
-1.07112
0.402194
-0.141122
-0.261405
-0.369222
0.00664535
-1.19902
-0.676173
-0.479547
1.16564
0.388595
1.25312
0.00419401
1.41449
0.147728
-0.0617081
-0.689069
0.0868003
-0.3325
-0.465804
0.0666834
0.863342
-0.385391
-0.832091
-0.999085
0.0476191
1.20276
-0.500198
-0.72676
0.399587
0.799704
-0.172374
0.761376
0.497553
0.0012838
-1.6461
0.558749
-1.40322
0.58782
0.176171
0.577153
-0.086713
0.0355002
0.0996277
-0.786382
0.105157
-1.00591
-1.21345
0.445191
1.82766
-0.674671
-0.068917
-0.340129
0.151127
-0.0431207
0.491
-0.230123
-0.358251
0.173442
2.21252
-0.130578
-1.21283
-0.261475
-0.16683
0.241565
0.0577466
0.663221
-0.461163
0.804664
-0.530303
-0.309322
-0.625554
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-0.367082
-0.433578
0.14133
0.165484
0.30496
-0.231326
-1.26876
-0.711813
0.0571419
-0.148126
2.01114
0.965588
3.00268
-0.153506
0.369994
-0.997286
-0.813038
-1.67496
0.95632
0.320556
0.469658
0.902517
-0.0719856
0.347655
0.547244
0.203818
0.222891
0.471255
0.337238
0.119077
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0.255029
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0.0331948
0.336552
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0.00182254
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0.0795944
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0.428652
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0.0363303
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0.11219
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0.13181
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0.12049
0.329503
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0.147268
0.557261
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0.240729
0.0468917
-0.0402666
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1.11428
-0.450907
0.260115
0.422052
0.743561
-1.34334
0.747097
1.58398
0.905563
-0.841698
0.252473
-1.83061
-0.37477
0.762894
0.599497
-1.43598
0.235736
0.845904
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-1.00398
1.45382
1.20413
-2.02947
0.0194892
-2.65313
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0.141418
0.0828106
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0.115464
0.311304
-0.790108
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0.713443
-0.339823
0.409898
0.107961
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0.0402818
0.150826
-0.370419
-0.129674
-0.00818837
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0.048336
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0.0261352
0.379641
-0.324827
-0.739085
0.100365
0.50675
-0.159013
-1.15446
-0.510142
1.0226
0.367939
-0.71495
0.25887
0.491925
-0.888023
-0.599619
0.159135
-0.364328
0.374323
-0.0595762
-0.527372
0.211706
-0.297688
0.420744
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1.06249
0.107704
0.981505
0.213316
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0.0489711
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0.292292
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0.0764834
0.304406
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0.497039
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-0.229967
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-0.0779956
0.613975
-0.0336598
-0.333385
0.0765525
-0.134879
-0.533712
-0.526673
-0.130706
-0.125243
-0.0518617
0.578586
0.451762
-0.435643
0.330659
-0.582336
-0.0121764
-0.169171
-0.00653775
0.610178
-0.0961457
-0.340545
0.639476
0.279717
0.984077
0.286579
-0.0694676
-0.391117
0.372882
1.4313
0.657118
0.134814
-0.937241
-0.285173
-0.172063
0.473804
-0.585544