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

Method : TMlpANN
Creator: cafuser5
Date   : Thu Feb  1 04:55:33 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_12244/work/macros3
Training events: 86722


#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'    [20.134,501.348]
                        LepBEn                        LepBEn    'F'    [10.029,469.956]
                       dilmass                       dilmass    'F'    [16.0029,749.693]
                        metmag                        metmag    'F'    [0.0479105,326.463]
                         addEt                         addEt    'F'    [33.7775,808.484]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [9.18477e-05,3.13797]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,70.7499]
                       jet2_Et                       jet2_Et    'F'    [0,46.4936]
                       dildphi                       dildphi    'F'    [2.63256e-05,3.14154]
                          lepR                          lepR    'F'    [0.31546,4.21656]
                        metsig                        metsig    'F'    [0.00413108,15.8344]


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

#input normalization
45.0517 97.629
17.8938 37.2857
41.4765 90.7522
16.756 54.7329
31.4566 138.171
0.591396 1.8951
0.398536 0.142727
9.64024 3.3879
2.77439 0.366043
0.646766 1.56609
0.708179 2.27012
1.36743 4.50433
#output normalization
1 0
#neurons weights
-0.0641831
-0.266832
0.297162
0.374793
-0.0331879
-0.327231
0.256074
-0.0233696
-0.491627
0.490507
-0.00314647
0.393049
-0.545984
-0.345993
-1.32991
-1.27602
0.738905
-0.596587
-0.223014
-0.0986739
-0.278055
-0.357376
0.934995
0.973153
-1.81464
-0.998026
-0.0417572
-0.459243
0.231175
0.391357
-0.0205905
0.629364
-0.910797
0.56936
-0.245486
0.146649
0.343997
0.505446
#synapses weights
-0.61308
-0.092984
-1.36336
1.21556
-0.265469
0.367749
0.222028
0.324924
0.0689643
-0.380348
-0.784111
-2.10589
-0.0299274
-0.396986
-0.189346
-1.28536
0.425094
0.0996517
-0.241245
0.539983
0.226807
0.10298
-1.50447
-0.321986
1.48135
-0.522834
-0.957682
0.195683
-1.18698
0.450834
-0.249709
-0.208422
0.306772
1.15876
-0.599324
0.423063
-0.00557769
0.12993
3.09889
1.09114
3.64071
-0.28947
0.15976
-0.682853
-0.232505
-1.74959
1.86275
0.408758
-0.103752
-0.211366
1.0518
-0.892935
1.62178
0.577817
0.0939323
0.179468
0.322143
-0.460926
0.347464
-0.428953
0.222311
0.618387
-0.935362
0.00752821
0.230742
0.688989
0.765167
0.16961
-0.308195
-0.812163
-0.425166
0.117995
0.0351627
0.175539
-0.16814
0.261364
-0.862634
0.367788
0.564973
0.536324
0.244821
0.515999
-0.0427001
0.150989
-0.618311
1.30005
0.331873
0.117292
0.0630708
0.267986
-0.412937
-0.0121887
-0.72294
-0.99305
-0.498882
-0.208094
0.0484473
0.331261
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0.517028
0.645556
0.257343
0.494223
-0.0773073
-0.59367
-1.49994
0.471752
-0.364556
-0.0153667
1.65795
1.87265
0.0329296
0.122372
0.0939495
-0.130642
-0.0520079
-0.393236
0.499164
-2.10438
0.633074
0.0417097
1.14038
0.995397
0.271382
-0.447346
0.0806044
-0.2081
-0.216775
0.240218
1.66268
-0.0988491
1.23871
-0.599378
-1.70209
-0.929014
1.04899
-1.06033
0.0153955
0.206646
0.00130355
1.06994
-1.24197
0.570467
0.260071
-2.45306
0.198569
1.1652
2.09922
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0.424132
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0.0477438
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1.06389
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1.15166
0.637538
2.41548
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1.52575
0.431832
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2.0744
0.10705
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0.155497
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0.197178
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0.274889
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0.431951
0.0201203
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0.0584211
0.899545
0.247548
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0.210721
0.605291
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0.231602
1.1092
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-2.11769
1.05268
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0.189984
0.201214
-1.60024
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0.589647
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0.420621
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0.467414
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0.114592
1.00826
-0.0746534
0.105998
0.0128379
0.312475
-0.276268
0.929462
0.210317
0.31259
-0.650209
-0.436839
-0.290768
0.0988913
-0.0222213
-0.183134
-0.0362594
-0.39726
-0.366678
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0.0986478
0.715534
-1.05484
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-1.51785
0.351109
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0.273684
1.45408
0.623672
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0.517809
-0.277031