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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 04:12:49 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: 33202


#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'    [20.0814,448.278]
                        LepBEn                        LepBEn    'F'    [10.0847,363.968]
                       dilmass                       dilmass    'F'    [16,768.924]
                        metmag                        metmag    'F'    [0.521284,316.531]
                         addEt                         addEt    'F'    [38.7206,819.796]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.13777]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,67.429]
                       jet2_Et                       jet2_Et    'F'    [0,38.4613]
                       dildphi                       dildphi    'F'    [3.26082e-05,3.14152]
                          lepR                          lepR    'F'    [0.401341,3.57078]
                        metsig                        metsig    'F'    [0.0395302,15.6635]


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

#input normalization
17.6296 55.0644
16.2076 46.9069
32.0002 73.0675
16.2339 46.2687
30.5995 133.324
0.57743 1.82024
0.40461 0.147608
9.80967 3.5141
2.809 0.378395
0.701808 1.94878
0.619406 2.03751
1.3965 4.04453
#output normalization
1 0
#neurons weights
-0.446645
0.338956
-0.160457
-0.297
-0.431951
-0.369569
-0.30384
0.469814
0.0464034
-0.0578196
-0.138561
0.19375
0.692291
1.07088
-0.0121973
-0.176569
0.727884
-0.856866
0.783598
0.037691
0.418019
-1.091
-0.267097
-2.09948
-1.74503
-0.427325
0.412121
-0.310484
0.378641
-0.60087
0.0416309
0.627578
-0.226798
-0.535073
0.374514
0.345998
0.132541
0.390757
#synapses weights
0.2879
0.376189
0.698939
-0.851291
-1.0017
0.380734
0.357597
-0.210328
-0.239886
-0.246517
-1.03265
-0.601193
-0.539223
1.37686
0.969969
0.310776
0.283921
-0.30375
-0.337224
0.27705
-0.126531
-1.36659
0.521618
0.312832
0.0884375
-0.0297177
-0.40621
-1.35479
0.298044
-0.109356
0.107342
0.114607
-0.00776548
-0.371635
-0.263207
1.63024
0.943019
-1.44314
0.584081
0.375016
-0.413932
0.616125
-0.08537
0.425271
0.265781
-0.00828204
0.633182
-0.157068
0.867764
-1.17788
-1.48434
-0.606988
1.22713
-0.366518
-0.114622
-0.27559
-0.00805175
1.36528
-0.375537
0.396877
0.906159
-1.25653
0.493505
0.671131
0.905847
-0.621568
-0.0797326
-0.0375457
-0.425546
0.193389
0.330586
-1.18296
-0.942064
-0.519048
-0.600054
0.479126
-1.16174
-0.382034
0.263118
0.166962
0.169219
1.11174
-0.154917
0.268629
0.0774006
-0.0350412
0.290689
-0.101097
-0.225974
0.588947
0.152562
0.253168
0.189862
-0.423928
0.893537
-0.391998
-1.1395
0.42624
-0.351394
0.271031
-0.0299963
-0.326521
0.576587
0.109617
0.12158
-0.532064
-0.357961
-1.17226
-0.927937
0.0809595
-0.974987
0.697553
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-0.184632
0.0766357
-0.103074
0.166965
0.430558
-0.609894
0.437035
-0.173906
0.483556
0.160455
0.198502
-1.30152
0.541426
-0.626787
-0.0462607
0.142444
0.973388
0.751561
1.34868
0.574513
-0.3829
1.66401
-0.785266
2.0563
-0.578732
-0.345578
-0.213704
0.181325
-0.916033
2.10381
0.897958
-0.408039
0.0192434
0.0920599
1.46783
0.00718396
0.0972916
-0.502306
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-0.154302
0.61412
1.08517
0.319034
0.256344
0.772757
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0.331407
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0.37144
0.342005
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0.0191325
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0.239227
0.123708
0.474404
0.0321995
0.396978
0.642357
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0.348024
0.0411648
0.256882
0.00899499
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0.187681
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0.478883
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0.0400908
0.717304
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0.442747
0.068122
-0.733971
0.297603
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0.0885932
-0.476856
0.498022
1.17499
-0.101544
1.23108
1.0289
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0.774047
-0.976848
-0.461289
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0.928956
-0.469309
-1.33206
-1.61135
-0.457449
0.433768
0.625618
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-0.0392542
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0.0236451
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-0.498833
0.541545
0.4577
-0.0280795
0.444605
-0.352243
1.4612
0.448982
0.033532
-0.3575
-0.867584
-0.00183766
1.81251
0.799987
-0.206847
-0.701489
1.20883
-1.81212
-1.26835
-0.0686276
-0.887914
-0.153117
0.426261
-0.311294
0.620398
0.452249
-0.999516
-0.110882
0.0226793
-0.526722
-0.946886
-0.911323
-0.190989
-0.60588
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0.349154
-0.105294
0.225546
0.0681909
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0.743226
0.0991269
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-1.03577
0.0677757
0.516164
0.555883
-0.0857492
0.464997
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0.932057
-0.0330959
0.736122
0.465487
0.197449
-0.286474
-0.236044
0.420853
-0.079853
-0.805394
0.361605
-0.609307
0.864989
0.159178
-0.124667
-0.813053
0.547702
0.690177
0.631898
-0.186792
-0.459385
-0.378747
-0.394049
-0.301756
0.173245
0.514416
0.028251
-0.364421
-0.157837
0.213133
-0.425173
0.290177
-0.00616559
-1.07258
0.386009
0.360175
1.1175
1.22677
-0.836404
1.24826
-1.23567
-0.887392
-0.922643
-0.612972
-0.158955