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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 13:57:42 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_26213/work/macros3
Training events: 55888


#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'    [20.029,455.274]
                        LepBEn                        LepBEn    'F'    [10.0094,324.581]
                       dilmass                       dilmass    'F'    [6.78737,607.878]
                        metmag                        metmag    'F'    [0.0479105,397.642]
                         addEt                         addEt    'F'    [33.4645,695.909]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000171969,3.13797]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,124.767]
                       dildphi                       dildphi    'F'    [4.55707e-05,3.14158]
                          lepR                          lepR    'F'    [0.31422,4.18279]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
31.4788 78.3201
30.2731 57.3117
68.3252 118.035
14.173 40.702
62.7337 165.337
0.605566 1.40553
0.509464 0.190382
17.9181 5.82072
5.31654 0.915627
0.87138 2.26444
0.766198 2.38823
1.38127 2.90598
#output normalization
1 0
#neurons weights
-0.220906
-0.083712
-0.173321
0.224798
0.291093
0.10659
-0.423201
-0.0111588
0.319001
0.264985
-0.0776817
0.477327
1.81274
-0.21155
0.394012
-0.140324
1.05726
-0.266061
-0.0557625
1.36488
0.113245
0.363432
-0.625589
0.52111
6.31726
1.4059
-0.41799
0.545054
-0.175834
-0.1749
-0.301214
-0.767755
-0.181444
-0.226108
-0.263378
-0.0117765
0.285937
0.466477
#synapses weights
-0.0750134
0.184491
2.21092
1.10016
0.106988
0.146415
0.219324
-0.0970757
-0.128827
0.0416812
0.170859
-1.74904
-0.269086
0.101273
0.537782
-1.85528
-1.25404
0.93108
1.14397
1.57621
0.190672
0.0280048
-0.480791
-0.621396
1.50002
-1.27517
-0.868388
-0.283711
-0.212637
-0.0845919
-0.290603
0.194068
0.105569
-0.549575
0.969459
0.620926
-0.2565
-0.759707
-0.967368
-0.395224
-0.820591
0.0711188
-0.0424677
0.674116
0.0961782
-0.119852
-0.0797579
-0.132881
-0.109889
-0.337364
0.623548
-1.03085
-0.578577
-0.259901
-0.698575
0.250939
0.192872
-0.584884
-1.00045
0.092386
0.274289
-0.095733
-0.349053
-0.695765
0.808968
0.55926
0.33017
-0.0279633
-0.0524894
-0.521298
0.499155
-0.189785
0.251906
-0.253202
-0.0851098
-0.547992
-0.157864
-0.654382
0.100696
0.469149
0.347254
-0.0535078
-0.650901
-0.581161
0.300883
-0.515795
3.64475
-0.555047
0.329872
-0.310527
-0.100413
-0.0195246
0.137503
-0.460428
0.760048
1.1573
0.264264
-0.0728709
-0.642827
-0.40179
1.15431
-0.251263
0.368202
-0.164734
0.0838395
-1.22294
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0.299097
0.173099
-0.671134
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-0.911632
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-0.000963631
0.0200126
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0.104333
-0.0797259
-0.0548234
-1.56628
-1.00068
0.742627
-0.156599
-1.94286
0.302444
0.910227
0.159146
-1.84456
0.0289166
-0.95482
0.401091
1.31769
2.00126
0.688144
3.27185
1.10225
-0.17467
-1.30274
-0.383679
0.81223
0.00216627
1.62483
0.145726
0.0440619
4.06732
1.18324
4.7173
-0.0749294
0.466414
-1.31588
-0.602934
-1.17046
0.368827
-0.242336
0.699134
0.815618
0.371364
0.343696
1.09404
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0.444332
0.670244
0.247166
0.44308
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0.699358
1.73891
-2.78729
-1.68231
1.43167
0.330447
-1.2348
1.22777
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-3.90015
1.702
0.979958
1.61528
-3.33985
-5.87573
0.439668
0.115343
0.21532
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0.163863
0.283251
0.146968
0.0272282
-0.33783
0.240025
-0.563605
0.303986
1.42622
0.0821174
-0.324918
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0.136357
0.178458
0.1033
0.351975
0.217844
0.0740497
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0.522035
0.0721462
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0.198146
0.344273
0.250774
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0.329727
0.296733
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0.157959
0.0368073
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0.178998
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0.357206
0.268006
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0.258716
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0.510823
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0.264297
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0.105867
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0.0130528
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-0.627373
0.0943976
0.0777906
0.0402313
0.199636
0.404273
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0.155331
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0.0381974
0.175956
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-0.171025
0.342424
0.220983
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0.24967
0.100627
-0.210865
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0.15163
-0.281486
-0.0623811
-0.4496
0.153732
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0.371591
0.108388
-0.0324062
0.431418
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-0.22091
-0.919706
1.23946
0.521576
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0.058031
0.401238
0.101304
-0.281879
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0.179038
-0.104213