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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 04:03:06 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_27607/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'    [20.1862,344.546]
                        LepBEn                        LepBEn    'F'    [10.0745,223.413]
                       dilmass                       dilmass    'F'    [16.0063,539.012]
                        metmag                        metmag    'F'    [0.242859,228.48]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.12849]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,316.417]
                       jet2_Et                       jet2_Et    'F'    [0,110.836]
                       dildphi                       dildphi    'F'    [0.00012208,3.14158]
                          lepR                          lepR    'F'    [0.34932,4.18182]
                        metsig                        metsig    'F'    [0.0242314,11.2121]


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

#input normalization
23.3067 66.6541
14.1526 27.6531
14.5696 51.8804
20.9827 24.7582
31.2081 81.2502
0.854908 0.692942
0.521611 0.197929
17.6502 5.86651
5.41939 0.946441
0.910898 2.52916
0.847626 2.71474
1.66508 2.52225
#output normalization
1 0
#neurons weights
-0.481089
0.448158
0.480181
-0.156255
-0.135227
-0.292758
0.113923
0.307038
-0.265221
-0.445787
0.330903
-0.371239
0.87511
0.449428
1.33205
-0.190993
1.323
-2.50382
1.12055
-0.205642
-1.90434
0.814678
0.591701
-0.677783
-0.716843
0.420132
-0.14108
-0.111798
-0.320994
-0.129586
-0.0265291
-0.831077
0.605168
0.221619
-0.0306709
0.243529
0.581292
0.491312
#synapses weights
0.0459353
-0.691003
1.03971
0.97425
2.49571
0.714129
0.228521
-0.719926
0.710683
-0.881761
-1.17585
2.70879
1.28177
0.100489
-0.0386279
0.948699
0.70455
-0.0382551
0.0367585
-1.69653
0.983486
-1.53628
-0.629663
-0.562776
-0.943508
0.0455549
-0.619057
1.29091
-1.34902
-0.106507
-0.39784
0.217663
-0.179693
0.38585
1.17454
-0.850353
0.490112
0.360504
-0.285783
0.0809614
-1.78946
-3.3657
1.34166
0.417048
-0.235681
1.64887
2.37886
-1.8077
-0.907102
-0.133034
-0.222804
-0.125459
0.334641
2.62209
0.262627
-0.293898
0.415153
-0.933779
-1.63749
0.765501
0.405441
0.47144
0.435199
0.867123
0.453358
1.04742
0.122388
-1.14225
0.0945142
-0.235297
0.286403
-2.44445
0.74492
0.776987
-1.48413
-2.28037
1.97383
1.31518
-0.0615768
-1.53699
-0.244762
-1.13326
-2.3365
1.09498
1.10256
0.222173
-0.162899
0.533956
0.0436255
0.802855
0.22266
-0.229571
-0.123231
-0.298108
0.457614
-1.26748
0.0724417
0.0861776
-0.353634
0.93613
0.620973
-2.08534
0.150561
1.03983
-1.05477
1.30221
0.808513
0.485934
-0.118059
-1.10867
0.606924
-0.879662
-0.35574
-2.33105
0.606065
-0.89809
-0.256232
0.681142
1.4501
1.36099
-0.188477
-0.199225
-0.14657
-0.666515
1.03281
-0.562105
-0.116841
0.00217445
0.151513
0.060862
-0.290566
1.15549
-0.333481
-0.297028
-0.747496
0.0428966
-2.18825
-3.28858
0.335805
0.827331
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-0.653892
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-1.82319
0.0692172
-0.641111
-0.665897
1.65658
0.678236
-2.1343
-0.300456
-1.01779
0.299773
0.745198
0.168087
-1.39273
0.91053
0.668238
0.162169
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0.620448
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1.04711
-0.23329
0.023896
0.101974
0.478971
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0.216198
0.174257
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0.660736
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0.867965
0.100213
0.501157
0.715359
0.266859
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0.0640178
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0.203327
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0.364456
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0.311243
0.0953061
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0.105122
0.616713
0.132047
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0.235948
0.604034
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0.390239
0.0140158
0.311582
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-0.297016
0.0802334
0.367262
0.167405
0.204602
-1.30194
1.59743
1.67671
1.36918
-1.58024
3.18265
-3.16615
1.58522
1.92438
-1.43037
-1.70596
2.68405
2.70924
0.210751
0.374621
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-0.539897
0.194878
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0.644627
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0.731307
0.0494704
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0.324578
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0.553438
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0.693456
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0.0517816
0.228888
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0.128134
-0.909588
-0.374448
0.018833
1.6572
-1.10105
1.30378
-0.88918
0.267345
0.528437
0.346491
0.50786
0.462532
0.0539059
0.506185
0.107359
-0.116329
0.474835
0.413919
-0.570371
0.270278
-0.111732
-0.16968
-0.18867
-0.282736
0.063926
-0.0538142
0.0523715
0.408248
0.011372
0.354551
0.0410684
0.112847
-1.66431
-0.0404905
-0.133111
-0.143803
0.894073
0.020827