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

Method : TMlpANN
Creator: cafuser5
Date   : Sat Jan 27 14:15:41 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_6980/work/macros3
Training events: 129654


#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'    [20.0417,376.185]
                        LepBEn                        LepBEn    'F'    [10.1013,296.424]
                       dilmass                       dilmass    'F'    [16,624.748]
                        metmag                        metmag    'F'    [0.00882513,186.251]
                         addEt                         addEt    'F'    [30.904,598.39]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13977]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,111.202]
                       jet2_Et                       jet2_Et    'F'    [0,42.3136]
                       dildphi                       dildphi    'F'    [3.26082e-05,3.14159]
                          lepR                          lepR    'F'    [0.307833,4.35338]
                        metsig                        metsig    'F'    [0.00104551,10.4287]


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

#input normalization
20.1939 56.2707
9.1628 42.1908
23.6277 80.5109
24.3262 18.7881
23.2995 102.437
0.713397 1.07781
0.40022 0.14467
9.58806 3.40035
2.7464 0.362772
0.903435 2.5667
0.823044 2.70539
2.1715 1.63482
#output normalization
1 0
#neurons weights
-0.285562
-0.302738
0.188348
0.486142
-0.0796457
0.321638
-0.147118
-0.486485
-0.162095
0.351511
0.0946044
-0.0452456
-0.445638
-1.02898
-0.350741
-0.0257609
0.343017
-0.779581
1.35945
0.0784219
0.646662
-0.321976
-0.749991
0.853457
0.38995
0.0458379
-0.113412
-1.08862
0.47061
0.126417
0.512809
-0.469286
-0.754428
0.182442
1.02309
-0.0419113
-0.468434
-0.0987231
#synapses weights
-0.6994
0.075612
-0.587406
1.62736
-0.575687
1.08512
-0.0158979
-0.0362795
0.422935
-0.930934
-0.175107
-0.990075
0.315255
-0.00550626
-0.343103
1.06703
-0.900894
0.0437364
-0.0409463
-0.0626627
-0.0710363
-0.355758
0.606748
-1.76765
-0.34678
-0.0930032
-0.00984826
0.677536
0.190502
0.458207
0.327417
0.0242927
0.335064
0.121918
-0.719063
1.00785
-0.377734
0.0585515
-1.20281
1.06399
0.0552098
0.0522354
-0.0471119
0.25797
0.646267
0.170358
-0.255833
0.221769
-0.412438
0.653533
-0.965171
1.04016
0.277741
0.812176
-0.0486426
0.239111
0.120057
0.229496
-0.975936
2.72752
0.122629
-0.0898984
-0.240767
1.57575
1.14201
1.80602
0.394224
-0.0474225
-0.0629204
-0.635657
-0.414681
3.36862
-0.796605
0.412863
-0.253006
0.886496
-0.0190445
1.27048
-0.383916
-0.373142
0.114056
-0.609969
-1.45396
3.47484
0.509185
0.372238
0.399031
-0.102876
-0.809673
-1.06237
0.108418
-0.263053
-0.646142
0.678079
0.583477
0.0491145
0.468299
-0.0739205
1.68294
-1.9769
-1.7031
0.897317
-0.0327751
-0.0456861
-0.24463
0.115401
0.614179
-1.97294
0.0770077
-0.128833
-2.73562
-0.257336
-1.96622
-0.300844
-0.219453
0.262964
0.0791899
0.085205
-0.462274
1.40406
0.177556
0.567285
1.14344
-0.955915
-1.36404
0.064734
0.0303385
0.20583
-0.0277207
0.219837
0.418404
-1.50789
-0.17658
-0.263068
-0.513064
1.2926
0.955055
-0.297783
0.0415072
-0.109561
-0.0659016
0.151255
0.0216338
4.01971
1.16438
-0.480723
2.2602
0.252156
0.646701
-1.37287
-0.0156749
0.159882
-0.675385
0.843022
1.59167
-0.563252
0.254183
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0.527709
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0.385408
0.275016
0.61739
0.319725
0.506747
0.0271739
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0.147013
-0.134927
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-1.25226
-0.295335
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0.676649
-1.02748
-1.7505
-1.77858
0.846712
-1.78666
0.79247
-1.26205
0.539128
0.0786162
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0.401537
0.443796
0.125243
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0.124781
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0.805473
0.221758
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0.142518
0.486121
0.282086
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-0.962773
-1.02657
0.159271
0.704331
-0.561979
0.519389
-1.20271
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0.124786
0.154364
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-0.255686
-0.22582
0.11576
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0.76324
0.022046
0.121295
-0.129704
-0.0438239
-0.615627
0.307618
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0.248374
-0.142658
-1.65516
-0.850838
-0.00533173
-1.53759
0.22401
-0.965434
0.346357
0.252378
-0.14737
-0.164451
-0.421553
0.227837
0.689373
0.978802
0.375357
0.376392
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0.0867694
-0.160218
0.441622
-0.28482
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-0.0186792
0.088275
0.909266
0.612997
-0.0914899
0.870459
-0.16988
-0.0888353
-0.269192
0.516405
-1.97889
-2.39749
0.317716
-0.311421
1.15061
0.780498
1.19302
0.459088
-0.836502
2.17084
-0.564212
2.28
-1.57183
-0.156437
0.149998
-0.176572
0.0281341
0.411832
0.26807
0.373205
0.243397
-0.106272
0.266659
-0.0198285
0.433762
-0.0102731
-0.065063
-0.381046
-2.05894
0.339431
0.467708
0.303618
-0.403699
-1.15669
-0.367704
-0.0256919
1.87557
-0.0859184