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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 16:54:50 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_32452/work/macros3
Training events: 169842


#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'    [20.0417,380.703]
                        LepBEn                        LepBEn    'F'    [10.048,296.424]
                       dilmass                       dilmass    'F'    [16.0004,624.748]
                        metmag                        metmag    'F'    [0.00882513,121.6]
                         addEt                         addEt    'F'    [30.904,598.39]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13797]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,97.6404]
                       jet2_Et                       jet2_Et    'F'    [0,46.4936]
                       dildphi                       dildphi    'F'    [2.63256e-05,3.14159]
                          lepR                          lepR    'F'    [0.31546,4.35338]
                        metsig                        metsig    'F'    [0.00104551,9.74471]


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

#input normalization
21.7393 51.8535
8.44901 37.7945
20.8234 70.8736
21.8657 20.2603
24.2795 90.9706
0.71369 1.08358
0.397717 0.142927
9.51637 3.35351
2.71898 0.354585
0.835408 2.42208
0.797479 2.62897
2.04138 1.67891
#output normalization
1 0
#neurons weights
-0.243955
0.389885
-0.0757498
-0.487648
-0.482094
-0.086497
0.253592
0.0593875
-0.134404
0.269719
-0.413332
0.0833077
0.506416
-0.0318854
1.20431
-0.150153
0.550027
-1.667
0.282254
0.731686
0.0373926
0.354102
-1.44053
0.891843
-1.57004
-0.239696
0.151648
-1.09525
-0.173786
0.0157895
0.261317
0.0719519
0.92778
-0.276158
-0.511999
-0.318017
-0.0923412
-0.0953027
#synapses weights
0.560216
0.0102631
-2.18534
-0.967629
-2.12581
-0.00502871
-0.119548
0.235393
0.161331
0.476067
-0.0558553
0.346479
0.156101
0.121852
1.0195
-1.02795
-0.4002
-0.0847482
0.12924
0.314342
-0.102036
0.254949
-0.590228
-0.191353
-0.383977
0.0538646
-0.229716
0.698788
0.274747
1.31678
0.169416
-0.372676
0.0077656
0.00126684
-1.36248
3.5865
-0.117383
0.124681
0.306628
-1.32299
-0.958921
0.456847
0.158
-0.340858
-0.0227329
-0.4294
0.285841
-1.41933
0.50379
-0.265765
-0.706171
1.30331
0.16768
0.10867
0.217477
0.0607225
0.977187
-0.0925508
0.0440823
1.21165
-0.578754
-0.0425477
-1.29191
1.34724
-0.315192
1.0492
-0.105556
0.096817
-0.0109015
-0.361736
-0.833854
0.903014
-0.377823
-0.13316
-0.504091
-0.377661
-0.662447
-0.323022
-0.347729
-0.19435
-0.3111
0.254399
0.761524
-1.06364
-0.655508
0.00309018
-0.760829
1.54836
1.51643
1.34287
-0.229829
-0.0629905
0.146509
-0.20227
-0.575543
2.36221
-0.0146892
0.0916414
-1.35582
1.80544
1.45869
-0.293024
-0.060477
-0.237472
0.0233988
-0.0442071
-0.822821
0.849778
-0.000118909
-0.27838
-0.469729
0.7948
0.928195
-0.0511793
-0.270568
-0.0888584
0.187305
0.314038
-0.631079
3.69067
0.569569
-0.146154
0.662023
-0.142326
-1.15316
0.313197
0.145241
0.0842342
-0.0218177
-0.292447
0.995549
-3.12066
-0.733275
-0.403091
-0.696046
0.55284
0.149422
1.6943
0.421426
-0.289913
0.407046
-0.463826
-0.545195
0.963284
1.62891
0.924137
2.37526
-0.396358
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-0.43931
-0.0269917
-0.0221616
0.10454
0.348723
1.45836
-0.986184
0.16874
0.0418651
0.378371
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0.395744
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0.454409
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0.507245
0.127286
0.638999
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0.0153445
0.200486
0.049578
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0.349424
0.137055
-0.445263
0.135275
-0.45256
1.05695
-1.05147
-2.32684
-1.49857
0.765084
-1.5373
0.574422
-0.779853
1.1608
0.507841
-0.849462
-1.1881
-1.06418
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0.0394238
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0.472887
-0.493148
0.120439
0.221225
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0.177856
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0.153402
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0.00428691
0.0161483
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0.348383
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0.0678663
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0.712979
0.907272
0.0282093
0.609836
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0.392777
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0.931355
-1.03287
0.0211866
0.69596
0.285819
0.939259
-1.09306
-0.465152
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0.969425
-0.19162
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0.309066
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0.398804
-1.27634
1.40618
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0.558019
-0.327573
-0.349892
0.20203
-0.094663
0.0331385
0.48362
0.25835
-0.189136
-0.694526
0.245697
0.473866
0.855023
0.40359
1.72117
0.00160446
1.10727
-0.807431
0.16137
-0.586232
0.140103
0.656442
0.699519
2.0174
-2.30164
-0.868039
-1.39959
-0.0229295
-0.198202
0.51439
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0.264183
0.108685
0.269637
0.799746
0.71801
0.154573
-0.497708
0.0564696
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-0.10601
-0.538556
0.125485
-0.713103
-0.225889
-0.484094
-0.261481
0.208119
0.19633
-0.418148
-0.0735781
-0.0286278
0.222604
0.144927
1.17873
-0.729736
1.24931
-0.623955
-0.514014
-0.605535
-0.974851
-1.1437
-0.535061
0.925702
-0.10142
0.173817
-0.230989
-0.164353
-2.40161
0.434668
-0.4413
0.382184
-1.34055
0.444795
1.48615
-0.729735
0.0400479
1.35352