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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 22:01:03 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_23823/work/macros3
Training events: 126180


#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'    [20.0051,560.525]
                        LepBEn                        LepBEn    'F'    [10.0159,326.456]
                       dilmass                       dilmass    'F'    [0.930871,658.809]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [33.7775,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.26405e-06,3.13813]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,201.455]
                       dildphi                       dildphi    'F'    [4.2571e-05,3.14158]
                          lepR                          lepR    'F'    [0.0153046,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.6228]


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

#input normalization
27.2652 80.0415
19.1387 26.2095
35.9866 52.9013
18.0119 46.0986
37.5615 113.711
0.570343 1.57845
0.548775 0.214246
19.8107 6.7096
6.19182 1.1477
0.627357 1.75234
0.575569 1.97015
1.44078 4.50319
#output normalization
1 0
#neurons weights
0.0389048
0.127303
0.261773
0.128146
0.0904477
-0.32592
-0.272929
0.215727
-0.0306598
0.49993
0.0900685
0.183756
0.025349
-1.18285
-2.00167
-0.986351
-3.02608
-0.261229
0.0930734
2.24931
0.754654
-0.58794
-0.823665
0.0171548
0.158524
-0.331766
0.194395
-0.0164927
-0.0185189
0.103946
-0.117069
0.460735
0.0429682
0.225139
0.360351
0.0358198
0.365246
-0.636562
#synapses weights
-0.844509
0.0662797
-1.28
0.51832
-0.282022
-0.403863
-0.0927152
0.465364
-0.0386321
0.0419687
0.445559
-0.921583
-0.471376
-0.0890683
0.328629
0.99991
-1.15472
0.117306
0.119627
0.144498
-0.135081
0.301514
-0.28237
-1.36508
0.172642
0.0804918
0.934163
0.312278
1.29739
-0.255228
0.19915
-0.440105
-0.0445651
-0.830184
0.94379
0.00969768
0.121124
0.210017
0.585045
-1.10511
-1.78925
0.386749
0.0649565
-0.291963
0.18802
0.625972
-0.347195
1.2398
0.123455
-0.457928
0.96056
-1.0656
1.57169
-0.226656
0.0296115
-0.282118
-0.0805122
-0.152952
0.550571
0.985724
0.428288
-1.43975
-1.15939
-0.05495
-0.34026
-0.0424563
0.0606161
-0.278892
-0.0739638
0.763713
-0.144364
-0.0142989
-0.0862745
0.0778901
0.990721
0.0453772
-0.077768
-0.198393
0.0134707
-0.294587
-0.0109421
0.079796
-0.245106
0.352439
-0.314172
0.146294
0.119106
-2.21949
-0.528427
-0.0604237
-0.0388373
0.375773
0.0712066
0.449004
-0.423776
2.52969
-0.638403
0.177181
-0.67497
0.474059
-0.528008
-0.426488
-0.288656
-0.385116
-0.037458
-0.115133
0.58727
0.635765
0.792353
0.326912
0.0966407
-0.891647
0.716072
-0.627041
0.103165
-0.0057181
0.0302248
-0.766759
0.658423
1.10911
0.111021
-0.0392734
0.242515
-0.696369
-0.695227
-0.641204
-0.471991
0.00768663
0.226401
0.633268
0.629339
0.328803
-0.570764
-0.0269733
-0.752372
0.326025
-0.887202
0.199257
0.380185
-0.203485
-0.0133448
-0.318993
0.608884
-0.975101
0.381568
-0.172575
-0.0345652
0.284861
0.248559
-0.278464
0.207488
-0.543299
-0.110445
-0.0218966
0.0672666
-0.459959
-0.366066
-0.102442
0.213957
-0.0615253
0.357418
0.368301
0.154172
0.430621
0.363594
-0.320177
0.0556868
-0.423974
0.396958
0.23334
0.35928
-0.752864
0.0555777
0.0245099
0.274916
0.289767
-0.421776
0.293437
0.240626
-0.280569
-0.0964779
-0.947773
0.347583
-0.80214
0.903781
0.223856
-0.339901
0.0501599
-0.28283
1.14368
0.0651597
0.780206
-0.187599
-0.131658
0.526678
-0.501688
-0.357536
0.0498892
0.386902
-0.464383
0.416465
0.120493
-0.0675651
-0.118424
-0.120414
-0.178629
-0.281442
-0.394608
0.362677
-1.11337
0.421219
0.42242
0.141774
0.299637
-0.757719
0.716702
-0.181221
0.365408
0.592867
0.372382
0.79269
0.548531
0.198297
0.59009
0.0021413
0.020879
-0.322732
-0.032243
-0.155553
-0.357381
0.0480236
-0.0794672
0.174955
0.640044
0.563916
0.236462
-0.0255779
-0.134211
-0.387145
-0.273888
-0.49788
0.164935
0.308075
0.380736
0.167104
0.567273
0.148939
0.0267641
-0.285055
0.0937804
0.405008
0.0214439
-0.167822
0.0524596
0.202591
0.472105
-0.129497
0.175882
-0.18555
0.173911
-0.91944
-1.10594
0.610737
-1.69245
-1.53464
-1.57878
-0.17141
0.277848
-0.535935
-1.53173
-0.96723
-1.52473
0.591849
0.498512
-0.284925
0.801102
-0.47618
-1.43909
-0.0036161
-1.27294
0.821673
-0.719214
-0.552438
-0.508453
-0.0196756
-0.17301
-1.10152
0.333386
-0.07377
0.435163
1.28589
0.364214
0.0277069
-1.05356
-0.0396828
1.20125
0.553061
0.253469
0.23924
-0.0160815
0.696992
-0.0591169
0.368874
-0.0225016
0.0947461
-0.184702
-0.25721
0.204524
-0.305662
-0.144966
-0.234691
-0.509981
0.0196051
-1.17904
1.03813
-0.411412
1.22946
0.521061
0.122643
-0.047302
1.95443
1.25529
-1.33427
-0.723878