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

Method : TMlpANN
Creator: cafuser2
Date   : Sat Jan 27 14:47:39 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_14529/work/macros3
Training events: 89220


#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'    [20.0036,469.956]
                        LepBEn                        LepBEn    'F'    [10.0091,326.456]
                       dilmass                       dilmass    'F'    [6.48079,658.809]
                        metmag                        metmag    'F'    [0.0479105,397.642]
                         addEt                         addEt    'F'    [34.1228,793.018]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.38396e-05,3.13797]
                    ntightjets                    ntightjets    'F'    [0,8]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,152.805]
                       dildphi                       dildphi    'F'    [0.000157602,3.14158]
                          lepR                          lepR    'F'    [0.24684,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
25.734 56.0053
15.3149 38.0249
36.5511 76.7565
20.1138 27.5378
31.0517 106.632
0.578651 1.65334
0.509528 0.189831
17.8174 5.7934
5.28778 0.913705
0.851952 2.24454
0.785686 2.43362
1.76097 2.42762
#output normalization
1 0
#neurons weights
-0.414427
0.38876
-0.139151
-0.0715633
-0.0955467
-0.145613
0.43051
-0.183551
0.353038
-0.49816
0.266859
0.495842
-0.302681
-0.0482171
0.399216
-0.295774
-0.608207
-0.800399
0.950396
-0.694731
0.618032
3.80769
-0.276243
-0.879528
0.0271592
0.524955
0.071401
-0.0302106
-0.331568
-0.94815
0.824467
-0.461927
0.146687
0.53264
-0.293615
-0.855815
-0.57118
0.259123
#synapses weights
0.289262
-0.315518
-1.23074
-0.527274
0.884647
0.212021
0.494958
-0.0387691
-0.0942094
-0.466023
-0.0887862
0.0825207
-0.0797668
0.309417
3.48975
1.35311
0.49517
0.197708
0.264222
-0.146182
-0.153147
-0.778685
1.09009
-1.68534
-0.407098
1.42127
2.2738
0.86259
0.551603
1.85457
-0.193003
-0.207638
0.208248
1.15773
-0.248021
-0.551161
0.0437077
0.198603
0.825379
-0.0614173
0.130141
0.0806076
-1.11349
-0.103565
-0.167791
0.634393
0.590309
-0.0976657
-0.419902
-1.71077
-1.62272
-0.704655
-2.68207
-0.221039
0.20399
0.641124
0.227745
-0.283705
-0.831829
-0.0613219
-1.89828
1.02435
0.922674
1.17004
0.287004
0.337106
0.0735686
-0.280033
-0.171825
1.37164
-1.29146
-2.04057
-0.109045
0.590252
2.21602
-0.0793327
-2.36417
1.65507
-0.628265
-0.606669
-0.155222
0.887425
0.212416
-0.16507
0.275324
0.502407
1.20816
-0.442536
0.131148
-0.343231
-0.493307
-0.318285
0.0279975
-0.0431362
0.925064
0.0979997
0.407323
-0.502339
-0.691263
0.379288
0.611265
-0.391709
-0.0528531
0.249857
0.336767
-0.94356
-0.678113
1.42633
0.0472179
-0.223402
-4.76928
-0.943421
-5.23658
0.150768
-0.645042
1.81894
0.674333
1.64281
-0.211018
-1.15748
-0.824193
-0.449113
-0.835936
-0.621319
-0.264095
0.106343
0.117925
0.834088
0.145636
0.0228878
0.278606
-0.821535
0.0621468
-0.774225
0.311177
0.674659
-0.242139
-0.531555
0.6245
0.49947
0.221169
0.228994
-1.2426
0.55848
1.22335
-1.46324
-0.630419
-0.985747
-1.24719
-0.0821457
-0.0581061
1.00452
0.440713
-0.628452
-0.751698
0.160957
0.723802
0.159507
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0.464577
0.614975
0.375696
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0.0461033
0.0707666
0.645028
0.0393026
0.49056
0.0162036
0.258082
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0.339609
0.169587
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0.355273
-0.37311
0.670058
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0.307653
-0.106555
0.248921
0.945951
1.13541
0.321415
-0.455177
0.269514
0.636309
0.601103
0.394699
-0.93657
1.16615
-0.391732
-0.502915
0.135007
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-0.314777
-0.487434
0.0816466
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0.361045
0.252345
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-0.116272
-0.228189
0.693254
1.11081
-1.78844
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0.405922
-1.29758
-0.560526
-0.283715
-0.367329
0.924478
-0.0171874
-0.576463
0.553534
-0.141814
2.26184
1.0818
0.615489
-0.106736
0.875672
1.23371
0.678179
-0.496425
-3.00621
1.03723
1.39371
1.5267
0.1977
0.309374
0.387565
-0.0619964
-0.533061
0.090086
0.563236
0.0661958
0.0496891
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0.58021
0.190557
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-0.0805561
-0.111251
-0.718735
0.126233
-0.858574
-0.682534
0.187884
0.000597437
-0.449356
-0.00139817
-0.883151
0.287118
-0.290262
0.195543
0.26807
-0.045155
0.344863
0.0492912
0.0256262
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0.240257
0.0647236
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0.706674
0.0320855
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-0.915846
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-0.873744
0.021895
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0.87004
-1.7559
-1.1136
-0.828651
0.31163
-1.04305
-0.957
-0.567842
0.218931
0.84005
0.627765
-0.652673
0.398618
0.314963
-0.420858
-0.375527
-0.489204
-0.374836
-0.167022
0.315248
0.0803577
-0.419285
-0.476068
0.83953
-0.510499
0.23988
0.435324
-0.0148476
1.18972
0.510374
0.775187
-2.00954
0.0696394
0.599884
-0.0539835
-1.09154
0.707614
0.409902