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

Method : TMlpANN
Creator: cafuser3
Date   : Thu Feb  1 03:35:22 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_20020/work/macros3
Training events: 17966


#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'    [20.1862,344.546]
                        LepBEn                        LepBEn    'F'    [10.0745,223.413]
                       dilmass                       dilmass    'F'    [16.0575,539.012]
                        metmag                        metmag    'F'    [0.242859,271.74]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.12946]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,319.514]
                       jet2_Et                       jet2_Et    'F'    [0,169.59]
                       dildphi                       dildphi    'F'    [0.00254494,3.14158]
                          lepR                          lepR    'F'    [0.416105,4.18182]
                        metsig                        metsig    'F'    [0.0242314,12.7529]


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

#input normalization
23.4656 70.4288
17.0429 29.3206
18.6247 57.797
23.1285 25.5454
39.9353 86.2194
0.743279 0.62086
0.566687 0.228245
20.4004 7.04699
6.41992 1.23325
0.776096 2.63099
0.707705 2.81606
1.6226 2.45789
#output normalization
1 0
#neurons weights
-0.382139
0.429479
-0.0203221
0.0766209
0.342261
0.0498593
0.354069
-0.274376
0.167697
0.351428
-0.00582802
0.0345684
-0.553273
-3.61349
-0.161552
-1.1398
0.210892
0.826851
0.755218
0.717894
0.238703
0.113088
0.308683
-0.81647
-1.86708
0.0844284
0.684677
-0.440437
0.778223
-0.0125101
-0.42502
-0.224525
0.629882
-0.197662
1.38905
-0.24862
0.899829
0.252463
#synapses weights
0.399326
-0.344149
-0.866978
1.25069
-2.7462
-3.64993
-0.12978
0.411846
-0.132747
0.385632
-0.117507
-0.288775
0.390224
0.155349
-0.52476
-0.10621
1.39972
-2.28345
0.323947
-0.982188
-0.136699
1.45032
0.712441
0.0164162
-0.326737
0.292999
-0.223337
-0.0215102
2.15657
1.47945
-0.180468
-2.77569
-0.628633
-2.63649
-2.47333
0.586129
1.6014
0.186493
-1.327
-2.27763
-2.10273
-0.109209
-0.472046
0.060756
-0.20688
0.695338
1.32426
-2.93862
0.121449
0.21073
-0.580186
-1.29764
0.117718
-0.662553
0.119566
0.420304
0.165143
0.0639024
0.931823
0.416292
0.383659
-0.00969749
-0.328712
-0.273037
-0.469011
0.535548
0.282689
0.135746
-0.0119494
-0.570054
0.301981
0.509901
0.0694671
0.172435
-0.200197
-0.648827
-0.819452
0.744227
0.216547
-0.108185
0.157805
-0.05211
-0.225179
0.307671
0.491835
0.163277
-0.323193
0.000862543
-2.09525
0.427613
-0.385257
0.0619157
-0.0196595
0.0125541
0.270791
-0.875794
0.490511
0.751343
-0.0327381
1.4647
0.215886
0.965797
0.504659
1.10709
0.133702
0.555322
0.374465
1.64919
0.383241
-0.492364
-0.0263291
0.0928831
0.888464
0.771955
-0.247831
-0.576283
0.36605
-0.918572
-0.85446
0.542738
-0.372089
0.0470124
-0.664295
0.0345799
0.0262641
1.98809
-0.00896816
1.39665
-1.73706
0.166172
-0.452121
1.58568
-0.704624
-0.195268
0.498685
1.05369
1.68694
1.84552
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-0.242504
0.323224
-0.770658
-1.70318
1.1748
0.252865
-0.177111
1.15506
0.542483
2.55371
1.38611
0.476619
-0.0856152
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1.42086
1.3341
1.26337
-0.262967
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0.320292
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0.0690263
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0.0151567
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0.299694
0.238769
0.586699
1.08708
0.274948
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0.352891
0.293708
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0.368344
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0.0728879
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0.134296
0.165222
0.327452
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0.265191
0.432157
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-1.28362
-1.20415
0.384854
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0.15581
0.1657
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1.57488
0.419199
0.529558
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-0.0577299
0.458171
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0.127991
0.632438
0.808724
0.671613
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0.0578878
-0.936359
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0.705375
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0.250691
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0.263535
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0.319566
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2.45159
3.44513
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2.26474
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0.0162243
2.48803
1.03858
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-0.601136
-1.74691
-1.0144
-0.501563
0.397017
-0.571431
-0.381331
-0.29628
0.3999
0.49617
0.0588868
0.102208
0.0400446
0.484232
0.109431
-0.720053
0.375392
1.19536
0.138102
-0.0757811
-0.44129
0.354727
-0.3491
-0.281465
0.223959
-0.46407
0.464405
0.440172
0.599812
0.509814
0.054437
0.757666
1.04567
-0.135785
-1.14188
0.252811
-0.385856
-1.83641
-0.0284698
0.466148