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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:50:24 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_24729/work/macros3
Training events: 27396


#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'    [16.0018,567.836]
                        metmag                        metmag    'F'    [0.0417844,207.595]
                         addEt                         addEt    'F'    [33.7617,562.99]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.02599e-05,3.13505]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,283.06]
                       jet2_Et                       jet2_Et    'F'    [0,165.7]
                       dildphi                       dildphi    'F'    [0.00079598,3.14158]
                          lepR                          lepR    'F'    [0.400246,3.64288]
                        metsig                        metsig    'F'    [0.00334611,11.8795]


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

#input normalization
11.2317 53.3822
10.4164 41.1153
23.5017 77.1037
19.3507 16.1199
16.9603 97.8589
0.844645 0.637789
0.510019 0.192854
17.5604 5.76386
5.45741 0.927529
0.844973 2.64699
0.769253 2.71805
1.73073 1.44581
#output normalization
1 0
#neurons weights
-0.198104
0.109453
0.253553
-0.133736
-0.0239393
0.123594
-0.0280809
0.0243962
0.00462135
0.0196357
0.225218
-0.0969337
-0.138502
1.24792
-0.531621
-0.0014538
-0.805747
0.223932
0.00537112
0.31726
-0.453759
-0.773322
0.529876
-0.222982
-0.237845
0.513419
-0.265589
-0.185929
0.435866
-0.282914
0.356351
0.479706
0.210716
0.150589
-0.110177
0.0804731
-0.259498
-0.233298
#synapses weights
-0.012403
-0.106731
-0.719328
0.557076
0.302357
-0.108925
-0.0927056
0.00297766
0.260716
-0.214463
-0.452734
4.47803
-0.132051
-0.148804
-0.627734
0.0844873
0.509663
0.420601
-0.332451
-0.354291
0.287263
-1.20284
-0.734061
4.08178
0.40983
0.302922
1.57985
-0.89666
0.171022
0.162297
-0.0831075
-0.634477
0.304606
0.871206
1.03332
-0.470461
-0.369154
-0.054305
-1.54841
1.06046
0.574198
0.656501
-0.370583
0.544611
0.474138
-0.949801
-0.966163
-0.680975
0.0656469
0.45058
3.48631
-0.106951
0.541501
-0.171888
0.161302
-0.406456
-0.0507683
-0.0786517
0.480632
-2.06817
0.314072
0.697622
0.993163
-0.659573
-0.422056
0.00423037
-0.0484162
-0.101224
-0.164231
0.582045
0.998862
-1.09406
-0.332597
-0.391355
-1.60518
2.87247
0.829025
0.232535
-0.18661
-0.519643
0.277831
-0.556064
-0.907205
1.74403
-0.0754563
0.279984
1.08521
-3.2939
-0.0543866
0.0712137
0.394794
-0.0403654
-0.400473
1.00276
0.158503
-0.688512
-0.475238
0.0447444
0.576061
-1.15327
-0.24116
-0.220468
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0.184789
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0.484166
0.28165
-0.808701
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0.181706
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-0.43632
0.164888
0.290997
-0.217853
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0.173889
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-0.450384
-0.669338
-1.797
1.49758
0.442391
0.60342
-0.507413
-0.732815
0.606374
-1.30498
-1.46359
3.7756
-0.484548
-0.877202
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1.47161
0.333332
0.122848
-0.283203
-0.282686
0.53012
-1.1771
-0.47328
-0.0270201
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0.0132793
0.749806
0.320934
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0.4463
0.0953592
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-0.834618
1.04303
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1.49558
2.50883
0.614793
0.0715795
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0.50922
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0.863016
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0.817794
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0.0410113
0.068204
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0.161098
0.424646
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0.453085
0.638656
0.238471
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0.189826
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0.00695974
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0.107543
0.200598
0.259309
0.430637
0.160779
0.174392
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0.131262
0.254836
0.61246
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1.69722
1.57758
0.59904
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0.551411
0.225787
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1.00558
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0.415423
0.286813
1.02094
0.41996
0.449931
1.19293
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-1.11132
0.679422
0.104334
0.0130828
-0.137369
0.178209
0.424918
0.199263
0.230395
0.806176
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0.860007
0.372351
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0.0846867
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0.604401
0.720527
0.733401
0.158411
-1.01358
-1.36402
0.229476
0.164254
-0.65365
-0.0107224
-0.400045
0.0652834
-0.772225
0.288251
-0.122837
0.509805
0.14157
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-0.0779999
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0.132638
0.1534
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0.643758
1.10668
0.893875
0.304956
0.488629
0.690006
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0.806082
0.0290291
-0.0342923
0.425487
0.186303
0.336755
0.493296
1.02114
0.420751
-0.604078
-0.894661
0.278004
-0.231353
0.606361
-0.187542
-0.0710524
0.190277
0.0698782
0.202486
-0.572079
-1.28791
-0.0806239
0.917767
1.41144
0.105058
-1.20066
-0.143488
-0.15324
0.115819
-1.1084
0.721283
-0.355074
-2.44762
-0.649206
-0.545484
-0.857914
1.01308
1.58871
-0.992181
-0.713827
0.18187
1.42013
0.619485
1.48546