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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 03:04:00 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_27436/work/macros3
Training events: 30014


#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'    [10.0954,365.259]
                       dilmass                       dilmass    'F'    [16.0023,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [37.5475,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000194071,3.13746]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,71.3378]
                       jet2_Et                       jet2_Et    'F'    [0,37.8247]
                       dildphi                       dildphi    'F'    [6.29668e-05,3.14158]
                          lepR                          lepR    'F'    [0.315456,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.4364]


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

#input normalization
24.7017 65.6271
21.8113 34.3475
31.3965 64.1089
17.7054 57.2424
29.7157 137.188
0.582842 1.69373
0.396895 0.141367
9.68916 3.38877
2.75106 0.362238
0.651594 1.70694
0.596706 1.89764
1.48701 4.88877
#output normalization
1 0
#neurons weights
-0.0752979
0.153064
-0.486218
0.412553
0.348597
0.49559
0.0685531
-0.143525
0.459859
-0.482987
0.374325
0.0416203
-1.01187
-1.34689
-0.768379
0.16049
-0.345221
0.329139
-1.15007
0.541647
0.418874
0.921486
-1.1611
2.41744
1.5197
0.175685
0.964249
0.479157
0.521011
-0.36067
-0.407581
0.444008
0.0904744
-0.310926
0.178669
-0.0934068
-0.438532
-0.437872
#synapses weights
-2.39903
0.498502
-0.673706
-0.828342
-0.382602
0.498925
-0.206427
0.0581675
0.281178
0.855821
-0.998867
0.452431
1.01549
-3.23662
-0.421831
1.15805
0.733022
-0.774032
-0.594391
-0.326131
-0.0692536
1.71725
-0.970517
-1.17302
0.772877
-0.0543913
1.57838
0.545339
1.27772
-0.189498
-0.783105
-0.449839
0.0765921
-0.918223
1.67357
0.399755
-0.829329
-0.0265035
-0.68611
0.195308
-0.247697
0.089831
0.255741
0.147268
-0.172238
0.315161
-0.315051
0.190603
0.242417
-0.338344
-0.464556
-0.694897
-1.45456
0.22014
-0.146968
-0.345442
-0.452168
0.399978
0.05445
-0.0215194
-1.16389
0.215408
-1.09381
-0.35786
-2.24851
1.01213
-0.282555
0.54481
-0.197369
0.728831
-0.168183
0.509121
0.0712634
0.260548
1.14866
-1.37051
-0.902554
-0.111135
-0.290861
0.197684
0.182154
0.728162
-0.416582
2.04493
0.148699
-0.16155
-1.7382
-1.15947
0.0312342
0.314114
0.127632
0.294237
-0.0806463
0.642278
-0.884236
-0.0716924
-0.727674
-0.556692
-0.900236
-0.878864
-1.28793
-0.186629
-0.0570365
-0.235435
-0.772783
0.288956
-1.72589
-0.625669
0.875875
-0.228619
1.60989
0.855468
0.806332
0.195609
1.18455
0.212039
0.632993
0.349711
0.995456
-0.284209
0.178218
-2.15669
-0.462879
0.503813
-1.04039
0.778594
0.25457
0.0728767
0.578443
0.386673
0.3807
-0.0799706
-0.217283
-0.132366
-1.85931
0.190898
-2.76791
0.774288
0.195185
0.405938
-0.0639916
1.17493
-1.91738
-0.70512
0.170486
-0.0210373
-1.80605
-2.55492
1.17443
-0.281951
-0.142945
0.186098
0.0890842
0.223643
0.122969
2.26954
0.0232506
-0.107871
0.239334
0.431529
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0.0186269
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0.501873
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0.302349
0.648632
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0.398356
-1.03124
1.89229
0.64425
0.740266
0.0711054
0.462935
-1.12062
-1.86263
0.708868
0.908857
-1.01951
-0.413105
0.344455
1.27023
1.39521
0.917723
1.45708
1.6808
0.265773
2.4687
-1.73886
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0.679732
0.138607
-0.126344
-0.103152
0.187404
-0.246049
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0.405202
0.423404
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0.993747
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-0.822454
0.19275
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0.103926
0.00585914
0.138839
0.330051
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0.0320466
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0.308613
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0.199208
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0.220726
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0.20936
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0.514939
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0.710274
0.130951
0.823331
-0.00170072
0.721796
0.315494
-0.124015
0.491823
-0.0186061
0.390904
0.727698
-0.869549
0.328591
0.602601
0.324994
0.612663
0.900814
0.339909
-0.739632
-0.0511227
0.676352
-0.434972
0.470885
-0.390592
0.380731
0.245227
-0.458656
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0.225766
0.0146455
0.00241261
-0.351518
0.1654
0.691248
0.656101
-0.0865052
0.0792489
0.537664
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0.142336
0.414751
0.257427
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-0.101647
0.0230326
0.0486388
0.0251171
-0.741117
-0.131494
0.750909
-0.359471
-0.458547
-0.563441
-0.577763
-0.252636
0.0745036
-0.0103077
-0.481938
-0.0898274
-0.716759
0.352264
-1.97741
-0.319779
-0.261189
-1.06143
-0.631578
-1.2271
0.145798
0.303419
-0.321926
-0.900356
0.606847
1.40304
-0.824013
-1.62948
2.11016
0.44236
-0.549567
-0.455627
1.03432
-0.909809
-0.677148
-0.392918
0.511719
1.10654