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

Method : TMlpANN
Creator: cafuser2
Date   : Sat Jan 27 15:09:40 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_32232/work/macros3
Training events: 106130


#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'    [20.0051,560.525]
                        LepBEn                        LepBEn    'F'    [10.029,326.456]
                       dilmass                       dilmass    'F'    [6.76747,658.809]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [36.6487,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000114733,3.13889]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,169.59]
                       dildphi                       dildphi    'F'    [0.000103237,3.14159]
                          lepR                          lepR    'F'    [0.313483,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
26.4057 63.6162
14.169 39.2167
31.5028 68.7042
17.9571 51.5956
32.5586 130.108
0.603825 1.77679
0.574848 0.230376
20.8453 7.22508
6.53987 1.29081
0.616255 1.84792
0.560487 2.03925
1.41337 3.7332
#output normalization
1 0
#neurons weights
-0.48965
0.248036
-0.366697
0.206482
0.14051
0.123435
-0.0258457
0.428445
0.0914112
-0.413437
-0.125847
0.0465979
-0.0468209
0.929455
-0.56849
-0.361927
0.357776
2.52229
0.122124
-0.913986
0.307136
0.00666059
-3.62064
-2.10246
-1.03212
-0.33346
0.411105
0.227865
0.469215
0.662854
-0.231878
0.0593951
-0.514471
-0.306073
-0.184459
-0.181417
-0.097773
-0.398671
#synapses weights
-0.0905335
-0.581429
-0.949813
-0.306149
0.519381
-0.522055
-0.159532
0.0922185
0.982172
-0.214534
-0.579252
-0.521409
-0.182216
-0.247954
-0.637156
-0.141489
0.231233
0.66117
0.200307
0.14978
-0.216399
-0.107685
-0.430438
-0.10967
-0.345398
0.315309
-1.06906
0.29674
-0.218954
-0.777539
0.513762
-0.238008
-0.594198
-1.12447
-0.301618
-1.34745
0.689607
-0.0889693
0.151136
-0.396949
0.867688
0.163974
0.435621
-0.010292
0.104276
-0.283978
-0.3385
-0.686977
0.0345721
-0.333043
-0.266897
0.650082
1.23924
-0.335113
0.0108156
-0.619377
0.150606
-0.08108
0.446227
-0.523573
-0.139636
0.162244
-0.28385
-0.236477
-1.03339
0.67427
0.082238
0.804084
-0.00705859
0.488337
-1.42449
-0.144917
0.128213
-0.355703
0.482637
-0.761311
-0.973751
-0.0680814
-0.118504
-0.84317
0.10353
-0.0780337
-0.115874
0.748359
1.21984
-0.162857
1.27812
-0.561171
0.501001
-0.189528
0.233703
-0.14315
-0.170704
-0.339854
-0.122475
0.84851
-1.02439
0.364367
0.0828255
-0.934012
0.336253
0.244857
0.407452
0.109059
-0.18308
0.161279
-1.35775
0.0676616
-0.122805
-0.0331504
0.61653
-0.193277
-0.172435
0.151311
0.256372
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0.682751
0.356294
0.186516
0.0160774
-0.0365128
0.174283
1.34868
-0.789752
0.780269
-0.0790646
0.220388
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-0.133167
-0.615595
0.633113
0.845331
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0.678886
0.936073
-0.549711
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-0.00168729
0.184157
0.149506
-0.152749
0.60726
0.348795
0.598392
0.633755
-0.212598
0.0564766
0.101058
0.323447
-1.3089
1.25162
0.0663468
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0.387494
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0.0378874
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0.443209
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0.0177481
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0.289018
0.265378
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0.0780074
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0.289338
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-0.110004
0.56195
1.06721
-0.0801277
0.0795879
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0.230241
0.511048
0.394684
0.567694
0.57067
0.295407
0.38503
0.0798901
0.0723464
0.504429
0.341799
-0.39251
-0.0862493
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0.211544
1.58262
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0.1887
2.41884
1.51789
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0.513897
1.13738
-2.37368
-2.11641
1.02458
0.111459
0.112127
0.800652
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0.100331
-0.173709
0.0567788
-0.495889
-0.557307
0.543705
0.465671
0.490084
1.02349
0.670889
0.47173
1.12646
-0.709459
0.114589
0.805048
-0.115494
-0.39031
-0.230104
-0.201096
-0.364135
-1.1956
-0.975231
-0.826558
-1.01372
0.30805
0.497746
0.218028
1.33203
0.348656
0.9007
-1.1351
-0.374351
0.0503545
-0.256386
0.0336544
-0.0521343
0.0653085
-0.191308
0.333949
-0.0286039
-0.48301
0.396986
0.183958
0.0996744
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0.108061
0.0367917
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0.107376
-0.202449
-0.576967
0.0380094
0.331853
0.505529
0.292908
0.187954
0.543373
-0.0884622
-0.732524
0.251244
1.57825
-0.0691471
1.53758
1.4759
-1.29154
-1.19512
0.271368
0.14135
-1.71244
-0.191464
1.39185
-0.0449997
0.0339403
0.460594
-0.133572
0.750233
-0.117683
0.0130512
0.0586051
0.251811
0.338394
-0.632956
-0.438149
0.0241083
0.883389
-0.721345
0.828582
-0.393536
1.55821
-0.620844
-1.16209
-1.45111
-0.161856
0.551985
1.41366
-0.412161