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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 04:40:11 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_31230/work/macros3
Training events: 38454


#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'    [20.0976,308.823]
                        LepBEn                        LepBEn    'F'    [10.0381,386.004]
                       dilmass                       dilmass    'F'    [16,567.836]
                        metmag                        metmag    'F'    [0.0358876,237.05]
                         addEt                         addEt    'F'    [33.7617,562.99]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000270585,3.13777]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,401.726]
                       jet2_Et                       jet2_Et    'F'    [0,124.579]
                       dildphi                       dildphi    'F'    [3.26082e-05,3.14158]
                          lepR                          lepR    'F'    [0.400729,3.64288]
                        metsig                        metsig    'F'    [0.00264191,12.4979]


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

#input normalization
10.8764 47.1668
9.91862 44.7339
23.8706 79.269
25.6797 17.4787
31.1082 91.2903
0.730958 0.935221
0.531485 0.206146
18.4506 6.17315
5.70223 1.03163
0.897581 2.55222
0.94532 2.83841
2.18784 1.48618
#output normalization
1 0
#neurons weights
0.291296
0.339396
0.238667
-0.305813
0.207668
-0.099057
-0.334617
0.440993
-0.443342
-0.417125
-0.16993
-0.144114
-0.342069
-0.276526
-0.527549
0.430006
0.222659
0.458422
0.0189857
-0.516522
0.543135
0.149257
-0.948269
-0.501493
-0.178782
-0.489843
-0.115664
-0.600293
0.262539
-0.314792
-0.193962
0.360513
0.460713
0.270327
-0.202846
-0.667509
0.413274
0.430042
#synapses weights
0.32983
0.146673
0.0775247
-0.366098
-0.564305
-0.583039
0.236842
-0.19754
-0.54911
0.300589
0.614644
-1.48633
0.405091
0.6976
1.06125
-1.25613
-0.467493
-0.0668266
0.235925
-0.0110639
-0.0949744
0.159457
0.562954
-0.833219
0.115759
0.315303
0.507146
-0.283008
-0.378361
-0.603068
0.19642
0.0340567
0.100621
0.146476
0.230267
-0.494656
0.143343
0.278318
-0.161229
1.57884
0.51192
-0.186405
-0.377308
-0.0181089
-0.340451
0.132569
-0.240321
2.49464
0.3079
-0.198357
-0.329214
-1.151
0.565094
-0.725299
0.312383
0.213909
-0.0473544
0.491012
-0.613532
0.0796475
0.230044
-0.180192
0.431869
-0.850545
-0.577687
0.0207314
0.094057
-0.323544
-0.453515
0.299606
0.431266
-1.4406
0.101072
-0.0897986
-1.0354
-0.352882
1.01536
-0.128066
-0.181264
-0.024667
0.0757091
-0.223114
-0.344662
4.83855
-0.0691785
0.40369
0.746187
-0.373375
-0.292675
-0.871818
0.0053336
-0.32393
-0.476474
0.810943
1.02399
-0.513237
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-0.374204
-4.05995
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-1.0343
0.0885761
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0.129012
-0.447992
-0.9853
1.11329
-0.448043
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0.23706
0.198691
0.429951
-0.0955063
-0.0648575
0.812296
-0.513701
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0.331236
0.461208
-0.363939
1.20092
-0.526599
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-0.520995
-0.142395
0.407979
-0.23856
0.264176
0.857267
-5.00215
0.14154
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-1.56974
2.76364
1.28486
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0.103462
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-0.349392
0.74582
-0.289742
0.265232
-1.18526
2.02834
0.584509
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0.1751
0.18754
0.519281
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0.272743
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-1.06631
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0.33071
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1.86366
0.182049
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0.328326
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0.196316
0.314805
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1.10096
0.282771
0.0800027
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0.136015
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0.00527684
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0.343199
0.163677
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0.608931
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1.22791
0.455026
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0.118975
1.13221
0.307272
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0.525934
0.715178
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0.188729
0.59303
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2.41854
-1.74737
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0.32756
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0.0167263
0.193029
-0.325806
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0.383941
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0.705284
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0.221356
0.891941
0.0737301
0.252073
-1.5148
-0.677904
1.44786
-3.24002
-0.761183
-1.54092
0.267872
2.61219
1.01808
1.22432
-0.385577
0.361449
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0.226231
0.182832
0.147458
0.156827
0.12363
0.319183
-0.184487
0.00732325
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0.117287
0.22968
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0.17378
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0.323248
0.477444
0.278409
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0.61444
0.105334
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0.382625
0.315608
0.024787
0.199756
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0.142892
0.0857304
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0.0848214
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-0.652959
0.195894
0.532063
0.649194
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0.283835
0.20475
0.526268
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-0.0928996
0.152111
-0.14082
-0.000317181
-0.221922
0.126662
-0.457556
-0.462588
0.190163
0.0371219
-0.281685
0.256258
0.145475
0.136738
0.888703
-0.01878
-0.135661
0.470438
2.25112
-0.0304594
-2.82822
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0.290767
0.395016
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