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

Method : TMlpANN
Creator: cafuser2
Date   : Sun Feb  4 17:29:40 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_17845/work/macros3
Training events: 19912


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.0928,326.743]
                       dilmass                       dilmass    'F'    [16.0019,425.661]
                        metmag                        metmag    'F'    [0.122136,217.243]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.12438]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,325.931]
                       jet2_Et                       jet2_Et    'F'    [0,119.083]
                       dildphi                       dildphi    'F'    [0.00258422,3.14159]
                          lepR                          lepR    'F'    [0.352204,4.25751]
                        metsig                        metsig    'F'    [0.00832123,11.6568]


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

#input normalization
23.2303 46.8742
20.8293 50.6997
24.9805 76.9912
16.1275 16.6407
22.2593 73.8539
0.818762 0.652648
0.490193 0.179892
15.9741 5.17765
4.84556 0.799963
0.832248 2.59089
0.97632 3.12035
1.54392 1.50305
#output normalization
1 0
#neurons weights
0.346697
0.0087122
-0.357953
-0.253994
0.496654
0.0499994
-0.016872
-0.255247
-0.221634
0.434082
0.308236
-0.492334
-0.321448
-0.348653
-1.63999
-0.68861
-0.324202
0.0696747
0.600528
0.217237
-0.186413
0.226054
0.567367
-0.907678
-0.531485
0.71437
0.250609
-0.0728911
-0.329774
0.156446
0.575722
0.375303
0.317295
0.0997959
-1.02898
0.470156
-0.0452958
-0.178101
#synapses weights
-0.182645
0.135753
-0.353396
0.284577
0.212235
0.617822
0.191423
-0.12521
0.741885
-0.656519
-0.331304
1.82193
-0.533711
0.729979
0.508906
0.0582606
-0.464467
-0.557856
-0.443557
-0.286755
0.0313511
0.140702
0.279745
-0.0508915
0.193532
0.54619
3.08671
-0.289985
0.489184
0.426539
0.23338
-0.225063
0.0365075
-0.963617
0.0692143
-0.670511
-0.00670923
-0.00177564
0.582235
-0.473856
0.180772
0.526806
-0.534542
-0.106743
0.205763
0.759422
0.907966
-0.159692
-0.304364
-0.843605
-0.666462
0.623843
-0.580852
-0.927224
-0.154868
0.333669
-0.02996
-0.827059
-0.110204
0.21499
0.0795177
-1.13884
-0.232776
0.767717
0.28526
0.293972
-0.351924
0.177706
0.352774
-0.679989
0.0273066
0.773376
0.290239
-0.0306318
2.49525
0.315798
0.922184
-1.21453
0.161207
-0.386722
-0.0317244
0.705687
1.10484
-0.418873
-0.274261
-0.339248
-0.438226
0.25993
0.322737
1.75744
0.0711654
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0.730499
-1.23337
-0.67811
0.964158
0.230404
0.135738
-1.31186
2.24349
-0.103686
0.266527
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-0.0763895
0.293295
-0.371314
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1.25758
0.841576
0.789337
1.81008
-1.43936
-0.089531
-1.63907
0.0027024
-0.0647788
0.472744
1.17081
0.752473
-1.33329
0.381985
0.00220297
-1.90559
-0.254561
1.18336
-0.0573402
-0.379192
0.115423
0.191846
-0.815959
0.557773
4.50035
-0.158136
-0.260577
-2.14715
1.1817
0.201517
0.722887
-0.121201
-0.130078
-0.206844
-0.64567
-1.21042
1.63961
-0.241254
0.0440312
-1.45798
1.45924
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0.445351
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0.0398748
0.387089
-0.202962
-1.08692
0.125491
0.14835
0.122553
0.247325
0.0119595
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0.699237
0.833362
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0.419224
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0.857519
0.26549
0.139305
0.559722
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0.610188
0.340504
0.0914761
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0.506338
0.413383
0.755202
0.868792
0.276433
-2.22795
-0.717222
0.515752
-0.549809
-1.17
-0.336256
1.0879
-0.605001
0.615969
1.34325
0.596344
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0.421025
0.541488
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0.493152
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0.206791
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0.192193
0.322466
0.0541539
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0.0785219
0.369842
0.0703837
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0.972124
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0.417882
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0.380427
0.200099
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0.112695
0.572144
0.281198
0.370841
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0.200826
0.967204
0.595592
-0.00837463
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0.609339
0.111147
0.21168
0.0274988
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0.0101037
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0.253639
0.263356
0.408209
0.170851
0.128325
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0.517956
0.2098
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0.364635
0.0839249
0.323765
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0.693189
-0.531288
-0.310277
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-0.00306798
0.371031
0.483667
0.284517
0.574908
0.614677
0.801636
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0.400648
0.293952
0.555716
0.022869
0.0831547
1.37398
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0.486068
0.337537
-1.0513
0.937936
0.597308
0.302684
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-0.169758
0.892358
0.0448118
0.19869
0.36151
0.888457
-0.49605
0.635342
0.869879
-1.59871
-0.474279
0.0496203
-0.0290554
-0.224065
-1.31083
0.0859159
-0.824969
-0.647238
-0.730693
-0.0995216
0.327644
-0.896412
-1.34921
0.89868
0.620666
1.16637
-0.523569
1.18999
0.181671
0.88515
0.573294
-0.613369
0.403968
0.322866
0.82052
-2.08772
-1.69034