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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:00:12 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_12051/work/macros3
Training events: 24796


#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'    [10.0159,354.2]
                       dilmass                       dilmass    'F'    [16.0035,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [37.5475,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000199058,3.13746]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,68.5206]
                       jet2_Et                       jet2_Et    'F'    [0,39.2866]
                       dildphi                       dildphi    'F'    [0.000335625,3.14158]
                          lepR                          lepR    'F'    [0.368166,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.2247]


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

#input normalization
27.821 56.9955
20.2996 49.6542
31.3908 81.1868
29.1679 25.7506
37.1362 110.437
0.847677 1.03876
0.4046 0.147062
9.81571 3.50053
2.86062 0.385419
0.89958 2.41062
0.757194 2.58658
2.48541 2.20563
#output normalization
1 0
#neurons weights
0.377162
-0.142341
-0.442536
-0.489595
0.041614
0.248755
-0.135852
-0.242542
-0.278461
0.258045
0.178821
0.451668
1.49642
-0.657282
-0.581647
1.1174
1.28901
-2.52594
-2.75949
-0.271468
-0.314983
-0.126976
-1.56587
1.11391
1.39227
-0.111455
-0.363964
-0.186771
-0.103959
0.333721
-0.0722106
0.0396496
-0.0206196
0.603705
0.161426
-0.0300607
-0.298584
0.533877
#synapses weights
-0.138545
0.0160743
-0.195399
-0.702716
-1.77106
0.862384
0.408861
-0.0409444
-0.122725
1.27656
-1.36683
0.086624
0.412154
0.0042652
0.34639
-0.726105
0.522762
0.232818
0.265932
0.102254
-0.139368
0.0551835
-0.671116
-0.480624
0.202238
0.0205744
0.994429
0.823635
-0.212369
0.194943
-0.441598
0.031285
-0.12237
0.0774214
0.309648
0.195101
-0.0650797
0.0445437
-0.744339
0.87732
-0.0874751
0.5254
0.593825
0.770808
-0.839007
0.938409
0.979105
0.789198
-0.0181145
-0.186769
-0.3036
0.47408
-0.444647
0.845263
0.510851
-0.197428
-0.388723
0.217103
-0.0963537
-1.38827
0.408114
-1.91417
-0.859715
0.225734
1.27691
-0.537859
-0.247451
-0.28885
-0.189467
1.71715
-0.224217
-0.778995
0.0548773
0.118013
1.51029
0.511601
0.519487
-0.228466
-0.309317
-0.252465
0.04617
-0.338706
0.257523
-0.66149
-0.510658
-0.0527612
-0.340294
-0.172897
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0.628933
0.548604
0.405589
0.0751841
-0.695192
0.314017
-0.0782891
0.32348
-0.0362237
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0.000845728
0.474331
-0.535999
-0.36493
-0.0973882
0.25284
-0.879242
0.728156
1.53071
0.206146
-0.117926
0.927871
-0.586244
-1.83118
1.0241
0.0300332
-0.247312
0.0826742
0.730882
-0.933427
0.301988
0.0352248
-0.6485
1.21973
0.9784
0.216204
-0.667202
0.274347
-0.0213268
0.106936
0.300408
0.773316
-1.34451
-0.754674
0.305377
-0.876558
-0.409857
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0.971338
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-0.493395
0.122726
0.199415
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-0.00213211
0.128043
-0.860477
-1.07913
0.539917
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0.133969
0.168763
1.15407
-0.772745
1.22544
0.0629117
0.520002
0.370873
0.693643
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1.20021
-0.591483
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0.682181
0.497598
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0.0576573
0.195213
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0.188785
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0.0931431
0.404045
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0.247651
0.591764
0.513555
0.0462013
0.384871
0.163348
0.223995
-0.149047
0.447741
-0.276256
-0.198454
0.0225318
0.724244
0.18999
0.195672
1.39371
-0.409682
0.844221
0.789077
-1.04617
1.77625
1.28843
0.167957
-0.866341
1.34878
1.18181
-0.656231
-0.952164
0.304367
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0.0638747
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0.39328
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0.514768
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0.520044
0.160017
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0.162061
0.248929
0.454778
0.437981
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0.0586273
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0.221313
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0.306146
0.151028
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0.750639
-1.28309
0.0438511
0.150028
-0.183672
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-0.394569
0.201873
-0.167272
0.0991957
-0.912593
0.34992
-0.977739
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0.418337
-0.0650031
0.0973669
-0.135409
0.283998
0.312266
-0.242988
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0.027181
0.160273
0.319869
0.647736
0.122965
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0.198045
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0.182768
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0.156213
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0.166779
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-0.0622977
-0.231308
-0.573065
-0.615555
0.0916585
0.612216
-0.196808
-0.498084
0.346828
0.325543
-0.95651
0.273264
-0.538989
-0.692663
0.915881
-1.05674
-1.01216
0.794918
0.198508
-0.736994
-1.08159
0.760371
1.60154
1.30036
-0.00771855
0.442101
-1.78824
-0.298084
-0.569904
-0.231798
-1.71642
0.471101
-0.764015
-0.0943652
1.4408