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

Method : TMlpANN
Creator: cafuser6
Date   : Sun Feb  4 18:01:31 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_27320/work/macros3
Training events: 17966


#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'    [20.0359,344.546]
                        LepBEn                        LepBEn    'F'    [10.0418,223.413]
                       dilmass                       dilmass    'F'    [16.0162,539.012]
                        metmag                        metmag    'F'    [0.117412,213.263]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.13819]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,335.847]
                       jet2_Et                       jet2_Et    'F'    [0,118.598]
                       dildphi                       dildphi    'F'    [8.83556e-05,3.14158]
                          lepR                          lepR    'F'    [0.316889,4.18182]
                        metsig                        metsig    'F'    [0.0116247,11.6758]


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

#input normalization
24.1607 66.2103
12.4609 25.3036
14.3671 51.3104
15.8515 21.693
22.8839 75.733
0.774845 0.636707
0.517315 0.195373
17.4329 5.76154
5.28505 0.917441
0.828582 2.59177
0.769124 2.77198
1.30829 2.29582
#output normalization
1 0
#neurons weights
-0.338486
-0.300374
0.192718
0.16133
0.0591516
-0.452354
0.351386
-0.382586
-0.0627105
-0.0592154
-0.10345
-0.0649986
-0.4397
0.204254
1.31811
-0.839834
1.21987
-0.269017
0.642644
-1.07614
0.25019
-1.69875
-0.442722
2.08173
0.382059
0.201914
0.239409
0.453544
-0.967032
-0.177191
0.639582
0.503488
0.616721
0.285287
-0.667698
-0.0910432
-0.383177
-0.0620162
#synapses weights
0.398375
0.449984
0.22801
-0.0180202
-1.57439
-1.24102
-0.372845
1.50945
-0.982916
1.26304
1.40272
-0.607923
0.147328
0.346786
-0.58345
0.73703
0.334136
1.64619
-0.588672
-0.015802
0.137725
-0.0935625
0.39539
1.06827
-0.155353
-0.0704042
1.4529
2.52884
-0.935133
-0.316929
-0.147587
0.874543
0.236919
1.17242
2.23835
-1.00828
-0.173051
0.298562
0.581144
-0.108792
0.116849
-2.41265
-0.324817
0.208469
0.0338793
0.888358
1.29008
-0.623508
-0.253881
-0.211037
-0.199507
-1.059
-0.431575
-0.206701
0.356573
0.67723
-1.11687
0.588049
-0.461542
1.6269
-0.172305
0.33894
-1.26314
1.46164
0.742555
0.793871
-0.351516
-0.901102
0.402345
-1.44741
-1.2862
1.05696
-0.354589
0.546777
-1.50371
-0.467884
-0.489459
-1.86052
-0.732159
0.580277
0.383606
-0.72324
-1.55108
-1.75821
0.318019
-0.219458
0.424374
1.72375
-1.33831
1.8499
0.119088
0.531223
-0.53893
0.0467572
-0.276591
-1.75439
-0.141435
0.0871785
0.575092
-1.29275
-0.507208
0.172423
0.309305
0.713986
-0.0164765
0.815502
1.4992
-1.43418
0.319923
0.0976521
-0.896619
0.855327
-0.629916
-2.36003
-0.0477737
-0.221248
-0.0439326
0.918012
0.0802388
0.0421752
0.0461152
0.701346
-0.0938576
-0.0220846
-1.5117
-1.4417
0.534174
0.659972
-0.18983
1.94543
1.40125
-1.50324
0.216451
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-0.330422
0.132302
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0.997314
0.180856
0.224176
-0.0288387
-0.418902
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-0.0298516
0.125425
0.285406
0.875276
-0.86103
1.63991
2.27309
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0.630751
-0.26872
-0.512748
0.0102228
0.983908
0.0271029
0.253337
1.80438
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0.175148
0.348478
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0.44681
0.514078
0.573369
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0.748605
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0.174749
0.151961
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0.318323
-0.730749
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0.461892
0.00600924
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0.121341
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0.253547
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0.48431
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0.0212712
0.478103
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0.285177
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0.0293615
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0.506697
0.808031
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0.210272
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-1.25375
0.728363
0.877196
0.442086
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0.20371
0.21826
0.610324
0.0922826
-0.422229
0.461909
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0.392063
0.0797467
0.320802
0.119874
-0.899215
1.54125
-2.78261
-1.44515
2.08518
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-2.11597
-2.93799
0.498521
-2.15807
-1.50792
2.88955
1.60256
-0.15842
0.202145
0.545333
0.632117
0.801394
0.10876
0.953309
0.101635
0.513343
0.712096
0.748264
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0.00426561
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0.639553
0.0418939
0.733099
0.0977178
0.501644
0.035296
0.264519
0.649288
0.744918
-0.279855
0.141359
0.161554
0.000442286
0.0265721
-0.271978
-0.360302
-0.497075
0.326183
-0.220302
-0.344607
-0.3297
0.0987413
-0.483493
-0.642253
0.931468
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0.236812
1.15907
-1.26256
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-0.253691
1.76517
-0.591238
0.139832
-0.094364
-0.290456