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

Method : TMlpANN
Creator: cafuser6
Date   : Sun Feb  4 17:48:48 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_27320/work/macros3
Training events: 28788


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.0405,326.743]
                       dilmass                       dilmass    'F'    [16.002,425.661]
                        metmag                        metmag    'F'    [0.0332514,173.569]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.13045]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,269.824]
                       jet2_Et                       jet2_Et    'F'    [0,125.099]
                       dildphi                       dildphi    'F'    [0.000184053,3.14159]
                          lepR                          lepR    'F'    [0.381805,4.25751]
                        metsig                        metsig    'F'    [0.0029975,10.3081]


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

#input normalization
42.8471 97.0046
19.6668 50.6383
23.3337 76.5496
19.2735 13.9091
16.6784 89.8213
0.712009 0.822329
0.50327 0.188377
16.4617 5.43747
5.15792 0.872589
0.843505 2.60964
0.753154 2.76534
1.75769 1.23537
#output normalization
1 0
#neurons weights
0.157581
0.152997
0.448965
0.0466082
0.346331
-0.424458
0.127478
-0.226538
0.0555883
-0.206184
-0.15824
-0.279589
-0.555303
-0.296394
-0.738537
0.625779
-0.167651
-0.362136
0.0400784
-0.595163
1.09291
-1.10231
-0.160611
-0.669306
0.160137
0.0695143
-0.125315
0.32142
0.779109
0.123196
-0.298411
0.490592
0.373444
0.625768
-0.391911
0.086898
-0.785584
-0.369262
#synapses weights
0.827967
0.477296
0.10665
-0.733969
0.489285
0.711217
-0.572546
0.372625
0.82873
1.17475
0.41975
0.229688
0.0412303
-0.278347
-0.700011
0.589948
0.175878
1.41495
-0.105867
-0.204417
0.372604
-1.47306
-0.67197
1.50068
0.0487745
-0.137561
-0.743756
0.988557
-0.778981
-1.18545
0.0780331
-0.293355
-0.0683196
1.03854
0.369837
-2.15193
-1.5213
-0.343219
0.400174
-0.913648
0.685878
1.11681
0.121457
-0.220713
0.385447
-0.739662
-0.658439
0.956713
0.325133
0.258375
0.167654
0.496691
0.447058
-1.11556
-0.282012
-0.395085
-0.124858
0.124197
0.0472248
-0.172123
0.0004203
0.214545
1.59711
-0.785855
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0.905018
-0.748676
0.621443
0.86264
-0.21644
0.120397
-3.61172
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-1.13186
-0.462298
0.45416
-0.97659
-0.278059
-0.0384994
-0.167564
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-0.0902867
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0.958313
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0.923439
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0.0139444
0.285847
3.54578
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1.10021
0.113122
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0.00917281
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0.603324
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0.295894
-2.27652
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1.8046
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0.21063
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-1.15716
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0.435915
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0.651891
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1.11898
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0.53886
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-1.54468
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0.755867
0.934052
-1.31678
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1.36088
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1.66994
0.332155
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-1.18762
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1.37361
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1.94038
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3.78741
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0.160089
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0.205045
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0.01819
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0.108748
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0.582487
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0.0261453
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0.72042
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0.0979909
0.95403
0.58222
0.390931
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0.670538
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0.481447
0.88476
0.291855
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0.830107
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0.25073
-1.26022
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-0.286137
-0.569431
-1.03411
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0.013517
1.3146
0.163471
0.0558161
0.740301
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0.657325
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