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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:12:28 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_5709/work/macros3
Training events: 37116


#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'    [20.029,560.525]
                        LepBEn                        LepBEn    'F'    [10.0722,365.259]
                       dilmass                       dilmass    'F'    [16.0089,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [37.5475,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000189206,3.14024]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,72.228]
                       jet2_Et                       jet2_Et    'F'    [0,38.8966]
                       dildphi                       dildphi    'F'    [6.96599e-05,3.14158]
                          lepR                          lepR    'F'    [0.34633,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.4364]


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

#input normalization
29.1837 81.7255
27.6913 64.3472
62.04 124.175
16.9982 45.4753
53.1947 175.462
0.621471 1.46715
0.402446 0.145506
9.8155 3.4838
2.79999 0.37641
0.858537 2.27448
0.716727 2.43894
1.74621 3.24463
#output normalization
1 0
#neurons weights
0.418935
0.496152
-0.226905
-0.262849
-0.255962
0.137132
0.198114
-0.154715
0.403516
0.243495
-0.0497623
0.195425
1.18895
0.280536
0.0412544
-2.21696
0.123375
0.690385
0.111622
0.206364
-0.484597
-0.634285
0.0474727
-1.58652
0.297992
-0.524357
0.0822689
1.18306
-0.129742
-0.301139
-1.07854
0.688719
0.27971
0.292045
-0.283091
-0.418747
-0.0855256
0.082412
#synapses weights
0.150602
0.367117
-3.35736
-0.619347
-3.45437
0.74431
-0.00615411
0.626329
0.199774
1.30913
-1.80201
-1.51398
-0.614039
-0.756063
0.113306
1.18493
-0.451463
-0.490188
-0.205472
-0.183251
-0.0787904
0.73074
-0.121577
0.496931
-0.365688
0.284732
0.0093575
-1.23544
1.13607
-0.348608
1.03217
0.660636
-0.220337
-1.30738
-0.489865
-0.580141
0.377343
-2.67058
-0.187718
-0.936361
0.301866
0.22225
-0.179614
0.363497
0.218612
0.681727
-0.531703
-0.0698992
-0.151272
-0.920144
-0.710718
-0.894109
-1.27909
-0.114425
0.0713932
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-0.17355
1.07008
-0.785941
0.124959
0.0877228
-0.349361
-0.547649
-1.48998
-0.330156
-0.15994
-0.0748361
0.773285
0.224283
-0.300447
-1.99883
0.00135029
-0.0656332
-0.494581
-0.425001
0.465453
0.498424
0.681186
0.0192034
0.0790084
0.884813
-0.888188
-0.865789
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-0.163239
-0.361567
-2.45898
0.0374677
-2.05953
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0.0709156
0.00813527
-0.0326994
0.537186
-1.36832
0.35374
0.392175
-0.805638
0.319325
1.09489
1.16123
-0.481265
0.0810162
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0.814623
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0.180294
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0.229448
2.05447
1.15409
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0.51273
0.0429547
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0.0747678
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0.113959
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0.231316
1.13889
1.09679
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0.577731
0.3828
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0.02025
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0.104318
0.538445
0.317218
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0.469649
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0.124466
0.2791
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0.21294
0.820526
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0.154782
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1.27705
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1.40164
0.130464
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2.80884
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1.28553
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0.603042
1.33111
-1.64389
1.29744
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0.703082
0.00662824
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0.0982617
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0.0528492
0.306263
0.290332
0.481461
0.216137
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0.130927
0.00704926
0.0167912
0.424658
0.137221
0.265626
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0.632301
0.113916
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0.0486281
0.777231
0.0468717
0.0866903
0.918179
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1.28763
0.868452
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0.0651384
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0.218835
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0.039117
0.100032
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0.0360203
1.04132
-0.73723
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-0.653873
0.543231
0.15706
0.0916249
0.296735
0.0185499
0.393342
-0.192347
-0.00339684
-0.355472
0.386586
0.22694
0.475913
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0.369177
0.447758
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1.17153
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1.7685
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0.122786
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0.00692322
0.721948
-0.112061