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

Method : TMlpANN
Creator: cafuser4
Date   : Fri Feb  2 06:04:42 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_26266/work/macros3
Training events: 10742


#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'    [20.029,391.149]
                        LepBEn                        LepBEn    'F'    [10.0865,347.054]
                       dilmass                       dilmass    'F'    [16.01,580.433]
                        metmag                        metmag    'F'    [0.336229,242.962]
                         addEt                         addEt    'F'    [36.2092,521.885]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000411015,3.12968]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,61.163]
                       jet2_Et                       jet2_Et    'F'    [0,38.5206]
                       dildphi                       dildphi    'F'    [0.000375363,3.14158]
                          lepR                          lepR    'F'    [0.396328,4.11823]
                        metsig                        metsig    'F'    [0.0262618,13.6185]


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

#input normalization
34.6114 84.4563
22.6023 23.6907
34.0248 49.7485
20.7451 55.2407
34.3226 124.67
0.849689 2.26145
0.396001 0.138846
9.57495 3.29708
2.79224 0.369628
0.933322 1.05757
0.628726 1.75648
1.60507 4.7222
#output normalization
1 0
#neurons weights
-0.334159
-0.279726
-0.413015
-0.266663
-0.351096
-0.237688
0.0353395
0.256786
-0.0865132
-0.219663
0.476935
-0.147276
-0.771613
0.0748353
0.430461
-1.64745
-0.393232
1.0205
-0.138137
-1.79844
-0.0266932
0.950475
-0.0916736
-0.215957
-0.694817
-1.14365
-0.470086
0.384788
-0.550373
-0.239881
-0.703708
-0.0408308
0.393921
0.193329
-0.580682
0.261206
-0.131161
0.119657
#synapses weights
0.0816914
0.685018
1.28531
1.47803
3.08763
1.09944
-0.268353
-0.356679
-0.0670869
0.120202
-0.794325
0.792506
-0.61317
0.345566
-0.326175
-0.361843
-0.182877
0.537813
-0.408351
-0.914717
0.0530605
-0.685493
-0.218597
-0.0509376
-0.653508
0.707277
0.30284
0.68928
0.0490384
-0.516322
-0.0187484
0.227909
-0.0755697
1.28995
0.155897
0.539627
-0.196167
0.216985
-4.88502
-1.35802
-2.47814
0.659066
-0.358548
0.883636
0.0795183
1.34366
0.172257
-1.11629
-0.767354
0.541034
-0.183303
0.0642489
0.641048
0.0764803
0.611947
0.251464
0.273785
0.470291
-0.387806
-0.530377
0.510148
0.902781
3.84575
1.5254
0.370304
0.475972
-0.543861
0.450932
-0.077317
-1.78195
1.7538
-0.77021
-0.0441091
0.0784551
-0.821847
-0.629312
-0.336467
-1.58441
0.676478
0.884692
0.334988
-1.4538
-1.12636
0.506395
-0.22668
-0.420199
1.4233
1.08032
-0.738936
-0.990619
0.0810265
-0.249491
-0.0743258
0.817852
-0.524237
0.000376529
0.131365
1.0676
0.481426
0.300296
-0.539097
1.1928
0.212471
-0.338937
-0.405001
0.58598
-1.18938
0.610579
0.512429
-3.10307
-1.7413
0.382132
1.45943
-1.46265
-0.284972
-0.390014
0.0756123
0.709506
0.543521
0.939537
-0.147024
0.419801
0.507874
-0.232224
0.0431489
-0.154999
0.719325
0.889562
0.148595
-0.79155
0.0111982
-0.252327
-0.0817401
2.35916
0.605283
1.12697
1.90675
-0.23757
-0.3368
-0.778756
-0.0821109
0.508528
0.645827
0.226459
-0.586623
-0.057251
0.426594
-1.02714
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0.788678
0.924529
0.711522
0.216673
0.885996
-2.09397
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-2.97081
0.59414
-1.21247
3.55334
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1.83484
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1.54961
0.931849
1.16437
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0.854029
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0.111589
0.125475
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0.644521
0.0722357
0.424155
0.0179219
0.558325
-0.557494
0.715245
-0.33977
0.580542
1.14314
1.1631
1.39602
-0.676723
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0.391148
0.111227
0.125286
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0.36039
0.0450317
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0.633699
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0.197857
0.0457257
0.133038
0.625758
-0.521681
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0.109441
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0.198932
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0.0753679
0.288724
0.435203
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0.0321007
0.396097
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0.508471
0.29167
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0.30481
0.122329
0.125745
0.645148
0.115936
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0.79139
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0.244443
0.457587
0.2952
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0.271034
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-1.00066
0.320237
1.19888
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0.338657
-0.970554
0.559457
1.31825
-0.0735287
0.080722
0.541759
0.0379833
0.360889
0.279269
-0.159196
0.604656
-0.519113
0.575373
-0.56991
-0.520276
0.282653
-0.19405
0.660471
0.212708
0.134939
0.0589855
-0.111265
-0.285605
1.9677
-1.20046
-1.23715
-0.0817292
-0.032909
-0.279637
-0.0949082
0.243835
0.181763
0.223783
0.836589
0.0855806