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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 05:22:11 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: 50604


#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'    [20.0976,308.823]
                        LepBEn                        LepBEn    'F'    [10.0381,386.004]
                       dilmass                       dilmass    'F'    [16.0005,567.836]
                        metmag                        metmag    'F'    [0.0358876,264.777]
                         addEt                         addEt    'F'    [33.7617,562.99]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.8051e-05,3.1346]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,336.299]
                       jet2_Et                       jet2_Et    'F'    [0,150.541]
                       dildphi                       dildphi    'F'    [0.000368335,3.14158]
                          lepR                          lepR    'F'    [0.400583,3.64288]
                        metsig                        metsig    'F'    [0.00264191,14.1297]


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

#input normalization
9.86531 47.8194
9.63678 43.787
23.6831 76.9988
24.0717 17.2635
24.8835 95.0241
0.848205 0.74953
0.525956 0.202889
17.9165 5.98596
5.42373 0.963094
0.82431 2.39188
0.802235 2.58878
2.09381 1.46239
#output normalization
1 0
#neurons weights
0.0153474
0.455932
-0.148847
0.167554
-0.0964142
-0.191199
0.252641
0.219352
-0.389158
-0.131751
-0.113373
-0.101367
-0.630399
-1.08113
0.302346
-0.325428
0.547662
-0.772033
-0.678017
0.194896
0.541038
1.69891
-1.21923
1.0608
-0.00426586
-0.0219639
0.331418
0.91895
0.480038
-0.552203
-0.401813
0.272056
0.0450664
-0.170004
-0.389562
0.451793
0.0280743
0.204892
#synapses weights
-0.353027
-0.394856
-0.900676
0.785459
-0.073957
0.688651
-0.0449382
-0.113164
-0.0409999
-0.181322
-0.278485
0.714066
-0.113534
0.160668
-0.292434
0.728197
-0.738293
0.312959
0.499953
-0.11175
-0.239985
-0.094117
1.10882
-2.22114
-0.557083
-0.757062
-1.47052
1.01786
1.08615
0.445088
-0.0729579
0.339825
0.480921
-1.1828
-0.715753
-0.329492
0.0424893
-0.447641
1.02204
-1.11208
-0.0353118
0.165583
-0.123227
-0.103935
0.123406
-0.305934
-0.137224
-6.75397
0.648386
-0.152006
0.252476
-0.692773
-0.382723
-0.675926
0.734638
0.716053
0.095885
0.705769
-0.149457
-0.0404035
-0.0418045
0.298698
4.41374
-0.374995
1.11647
-0.726449
0.158518
-0.255208
-0.148592
0.484517
0.796334
-2.80503
0.685578
-0.0648596
1.05125
-1.86982
-0.891916
-0.852111
0.42057
0.40507
0.37456
0.920323
0.396296
-3.27201
0.141157
0.376843
-0.880513
1.96288
1.34119
-0.131143
-0.174432
-0.140788
0.0718926
0.0273861
-0.284142
1.10529
-0.285035
-0.458566
-0.897987
0.414565
0.00699453
0.471811
-0.555362
-0.231063
-0.0731357
-0.043594
-0.822347
1.77459
0.135026
-0.139739
-0.218245
-0.145626
1.09603
-0.264933
-0.0368841
-0.250852
0.133398
-0.157604
-0.980863
2.01016
-0.124077
-0.46287
-0.778767
0.289424
-0.574538
-0.488074
-0.0657807
0.167413
0.207971
0.0614474
0.122703
-1.07533
-0.360367
0.432793
0.638136
-1.45816
0.177534
0.483014
0.251049
-0.219475
0.512418
0.361607
-0.112813
-0.0208453
-0.0506735
0.219295
-0.612122
0.525016
-0.626957
0.337971
-0.495488
-0.370754
-0.146153
0.119877
-0.262989
0.239025
0.147282
-0.263614
-0.325501
-1.43412
0.699887
-0.990836
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0.412949
0.39348
0.776528
-0.158276
0.167605
0.0312112
0.55768
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0.644064
0.492297
0.149456
-0.0994861
0.455626
0.182598
0.543403
0.21181
0.150699
-0.239131
0.123138
-0.0371739
-1.92203
-0.379447
-2.55373
0.951547
-2.88009
-0.56239
-0.330059
0.961371
1.62175
-1.22911
1.39864
0.215993
0.108621
0.195673
0.862044
1.33253
0.187505
-0.913713
0.823082
-0.465971
0.502433
-0.0305383
0.0129367
0.482334
0.145065
0.0373507
-0.685987
-1.13036
-1.07611
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0.226083
-0.362527
0.0135896
0.0905859
-0.423533
-0.174553
0.0295597
0.217034
0.565969
-1.10392
0.0667182
-1.48642
0.0548267
-0.514109
-0.129169
0.820139
-0.21526
0.36557
-0.0264312
0.371658
-0.073368
-0.478733
0.197244
0.158384
0.474417
0.0560763
0.0978335
0.167642
0.32985
0.590315
-0.000803196
0.489291
0.451557
-0.668039
-0.0596727
-1.0157
-0.630352
-1.78246
0.178434
0.658062
-1.06833
0.533886
0.591782
0.964989
-0.461681
0.72916
-0.426299
-0.317066
-0.332899
-0.0194333
-0.385617
-0.0413059
0.257651
-0.285971
0.180853
0.187558
-0.341206
0.4845
0.315023
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0.391523
-0.631508
-0.668443
-1.3802
-0.216856
0.467379
-0.6693
0.27526
-0.187369
-0.000680107
0.201774
-0.107039
-0.325074
0.24881
0.0810265
0.268559
0.881409
-0.5091
-0.132346
0.499945
-0.547012
0.464139
0.143284
0.23436
-0.271287
0.347318
-0.490111
0.0780677
0.0718156
0.217882
0.475042
0.836907
0.220704
-0.295836
-0.452171
-0.0512084
-0.190233
0.0531038
-0.479975
-0.365622
0.0917484
1.76987
-0.761564
0.117252
-0.169498
0.219124
-0.506167
0.0786008
0.468824
0.157821
0.173128