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

Method : TMlpANN
Creator: cafuser2
Date   : Fri Feb  2 06:38:42 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_23043/work/macros3
Training events: 44110


#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'    [20.1846,439.104]
                        LepBEn                        LepBEn    'F'    [10.029,469.956]
                       dilmass                       dilmass    'F'    [16.0039,658.809]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [36.6487,622.312]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000171969,3.13889]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,102.193]
                       jet2_Et                       jet2_Et    'F'    [0,41.9947]
                       dildphi                       dildphi    'F'    [0.000168946,3.14159]
                          lepR                          lepR    'F'    [0.388682,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


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

#input normalization
28.7652 49.6727
20.6428 34.8714
38.5733 52.0426
17.0889 45.1971
37.223 114.156
0.71677 2.08732
0.418254 0.156949
10.0898 3.72041
2.98933 0.427488
0.685005 1.50646
0.709091 1.63744
1.35933 4.10471
#output normalization
1 0
#neurons weights
0.43248
0.167554
-0.142774
0.421777
0.187282
0.289552
0.0604434
0.155952
-0.148759
-0.361788
-0.283223
-0.0789721
-0.416091
-2.6362
-0.136643
-0.20788
1.97851
0.314819
1.2274
0.596716
-2.67806
0.265839
-0.951591
-0.523177
0.8712
-0.0976988
-0.197919
-0.119284
0.19731
-0.369434
-0.134096
-0.872361
-0.350335
0.455026
0.228867
0.493472
0.445442
0.0368966
#synapses weights
0.227526
-0.0275399
0.713996
0.210732
0.324822
0.429562
-0.751883
-0.0154044
-0.0134251
0.692047
0.213129
0.235169
0.174119
-0.138762
0.53987
-0.45327
1.15296
-0.461861
-0.228268
0.0623999
0.249038
-0.200686
0.197529
0.612174
0.293385
0.330395
0.425896
0.279759
0.191755
-0.747726
-0.204107
-0.184629
-0.0454557
0.1626
0.624978
0.420294
-0.718174
-0.143992
-0.903378
-0.619698
-0.311033
-0.452019
-0.129416
-0.422551
-0.120703
-0.450714
0.695503
-0.301608
-0.186317
0.191734
-0.630524
-0.152658
-1.1674
0.427703
0.196814
4.54659e-05
-0.108886
0.130491
-0.401098
-0.208663
0.042535
0.406448
-0.320292
-0.190537
0.59335
-0.256579
-0.311904
0.106499
0.241232
-0.569927
-0.0475365
0.996412
-0.572507
-0.134664
-0.344199
-0.207921
-0.199215
1.17816
-0.488769
0.000487541
-0.61007
0.390745
0.111454
-0.150672
-0.0993833
-0.497082
-1.25055
0.150323
-0.0578904
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-0.0291447
0.0395624
-0.0510267
0.252661
-0.357338
-0.244395
0.104023
-0.0884312
1.15986
-0.816937
0.455828
-0.596261
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0.0561099
0.0298842
0.223923
0.921072
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0.00993709
-0.809012
-0.834655
0.983347
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-0.79093
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0.535779
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0.222498
-0.341396
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0.666385
-1.52753
-0.883507
0.191334
0.257806
0.0559607
-0.159399
0.679348
-0.981087
1.42852
0.913593
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0.673293
0.110941
0.147117
0.593827
-0.399596
0.0314885
0.0887778
0.357498
-0.0328337
0.0371084
0.382516
-0.153013
0.366694
-0.958342
0.06841
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0.0288457
0.0889714
0.661797
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0.946686
0.272174
0.794249
0.0309245
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0.728238
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0.349008
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0.471947
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0.0521437
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0.049172
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0.295736
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0.0464757
0.497455
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0.141474
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0.182927
0.405092
0.181732
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0.00406143
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0.501738
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0.306257
0.0244415
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0.502609
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0.50662
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0.378595
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0.32993
0.00296625
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0.0993569
0.222361
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0.0850971
0.325255
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-0.670526
0.30346
0.91288
0.0807303
0.692576
0.199924
-0.60901
0.396185
0.029078
-0.459249
0.283032
0.446064
-0.489767
0.249884
0.517288
-0.450994
-0.0541219
-0.234013
0.662883
0.303298
0.725099
0.496408
-0.3303
0.229594
0.434654
0.139312
-0.201983
0.254876
-0.384807
-0.826156
-1.02248
-0.149442
0.240808
-0.803116
0.786764
0.493463
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-1.25445
0.403265
0.432376
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-0.432775
0.504961
0.334803
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0.0410322
0.257151
-0.0727116
0.0456025
0.00231426
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-0.128986
0.223282
-0.0112409
-0.29981
0.395147
0.372758
-0.0766505
-0.0769108
0.211517
-0.297025
-0.244305
-0.363585
-0.243818
-0.328779
0.210649
0.398999
0.353992
-0.0588222
-1.10488
0.336108
0.175708
1.01965
0.0764913
1.89552
-1.27802
-0.743911
1.49639
1.57537
0.1699
-0.120967