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

Method : TMlpANN
Creator: cafuser2
Date   : Fri Feb  2 06:05:50 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_23043/work/macros3
Training events: 20960


#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'    [10.0954,347.054]
                       dilmass                       dilmass    'F'    [16.0268,580.433]
                        metmag                        metmag    'F'    [0.336229,242.962]
                         addEt                         addEt    'F'    [37.5475,535.1]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.00019077,3.13478]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,79.0628]
                       jet2_Et                       jet2_Et    'F'    [0,37.8247]
                       dildphi                       dildphi    'F'    [0.000103237,3.14158]
                          lepR                          lepR    'F'    [0.41009,4.26952]
                        metsig                        metsig    'F'    [0.0262618,13.6185]


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

#input normalization
25.4623 66.3503
22.4752 36.383
37.344 55.2375
17.3629 45.2214
36.6269 113.759
0.690028 2.03368
0.415783 0.154201
10.0317 3.65658
2.94865 0.420951
0.712825 1.45741
0.670565 1.75162
1.42347 3.72306
#output normalization
1 0
#neurons weights
0.422245
0.432377
-0.17366
0.424589
0.467067
0.33008
-0.00817303
-0.4498
0.235925
-0.460136
0.16453
0.0841397
-2.51666
-0.222712
0.185197
0.984953
0.201465
-1.14185
0.119114
-0.394223
0.0682899
0.385392
-0.0294885
-1.8472
2.79815
0.400996
-0.34517
0.0992146
-0.165283
-0.213154
0.398977
-0.373177
0.420061
-0.00677028
-0.0906068
-0.205795
-0.262897
-0.846974
#synapses weights
-0.0189983
-0.158682
1.43553
0.123464
0.837147
-0.582193
-0.0527813
0.00991568
0.0725484
-0.634776
0.0432348
0.516753
-0.359201
0.175394
0.536503
1.22288
0.847889
-0.95714
0.191181
0.238718
0.0908642
-0.811051
0.29956
-0.578593
0.155404
0.0935236
-0.819032
-0.450855
-0.582997
-0.720645
0.274978
-0.24282
-0.0373337
-0.790311
0.892429
-0.0388879
-0.171614
0.241804
0.000792524
0.567626
-0.266443
-0.121898
-0.00472221
0.194528
0.0912582
0.506863
1.41724
0.786537
0.0159171
-0.274479
-0.829117
0.443715
-0.275857
-0.248037
0.119814
-0.030784
0.113998
-0.416582
-0.0422776
-0.625358
-0.023218
0.18631
0.948485
0.776128
-0.259891
-1.16565
-0.159417
0.0178611
-0.00980963
0.348378
-0.181357
-0.275335
0.504281
0.148266
0.300672
0.965295
-0.400377
0.488846
0.186122
0.333093
-0.252072
-0.381799
-0.195524
0.814568
0.0642509
-0.243863
-0.49781
-0.463594
-0.583213
-0.41404
0.114372
0.256468
-0.378141
1.37507
0.16211
-0.164076
0.178592
0.335173
-1.16811
0.000553441
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0.41179
0.272885
-0.0425124
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0.363341
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1.52354
1.38114
-0.185387
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0.163114
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0.0429481
0.649437
-1.39061
1.12253
-0.959303
0.944016
0.0761493
0.307604
-0.464677
0.0932368
0.19491
0.623812
0.489797
1.00848
-0.173343
0.548327
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0.767574
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0.286945
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0.121211
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0.603364
0.271169
-0.0471632
0.0956008
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0.570591
-1.07967
0.808655
0.000956095
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0.105061
0.983078
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0.00571277
0.721785
1.41959
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0.88959
0.729121
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0.149074
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0.511313
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0.0950923
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0.329444
0.410768
0.275445
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0.343338
0.189861
0.467955
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0.297013
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0.276545
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0.526091
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0.0931814
0.422299
0.0924114
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1.64491
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0.76654
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1.55428
1.51633
0.715284
-2.18508
2.91178
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0.791761
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0.380865
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0.396008
0.115876
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0.411756
0.89441
0.366646
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0.733748
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0.0893563
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0.41194
-0.338362
-0.166376
-0.339708
0.0456184
0.291329
0.0164492
0.0973831
0.333081
0.481665
0.38986
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0.0482071
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0.343531
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0.722289
0.783236
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0.446742
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0.469186
0.284758
0.4599
0.220903
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-0.010016
0.280584
0.507067
0.517473
-0.327907
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0.00625523
-0.12377
-0.228101
-0.739577
-0.257445
-0.193177
1.02976
-0.276644
0.348539
-0.750114
-0.475303
0.311686
0.440304
0.0449489
-1.00119
-1.47635
0.702474
-0.177484
0.238361
1.73387
-0.676852
1.06939
-0.177764
0.671053
0.647369
0.212341
-1.26414