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

Method : TMlpANN
Creator: cafuser5
Date   : Sun Feb  4 18:39:54 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_15315/work/macros3
Training events: 12216


#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'    [20.1192,242.188]
                        LepBEn                        LepBEn    'F'    [10.0597,223.498]
                       dilmass                       dilmass    'F'    [16.014,414.792]
                        metmag                        metmag    'F'    [0.0793006,267.279]
                         addEt                         addEt    'F'    [34.3796,413.189]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000296664,3.11638]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,338.289]
                       jet2_Et                       jet2_Et    'F'    [0,124.767]
                       dildphi                       dildphi    'F'    [0.000624194,3.14153]
                          lepR                          lepR    'F'    [0.400449,3.63594]
                        metsig                        metsig    'F'    [0.00747125,12.5539]


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

#input normalization
10.7912 44.4165
13.6753 41.0544
25.7966 75.3151
16.5791 12.512
15.8907 84.2348
0.569757 1.03687
0.505151 0.190222
17.5711 5.74501
5.19448 0.876154
0.823258 2.63524
0.82342 2.83131
1.56992 1.13976
#output normalization
1 0
#neurons weights
0.122476
0.261784
0.466677
-0.200686
0.142023
0.0299556
-0.179484
0.48263
-0.20806
-0.00766363
-0.334646
0.155568
0.712688
-1.59778
0.257666
0.455282
-1.14801
0.289481
-0.842923
-0.893617
-0.64108
0.598465
-0.579325
0.694166
-0.0319745
0.0481631
0.521846
-0.34264
0.213311
0.712896
0.402228
0.233055
-0.0910398
0.0732263
-0.708858
-0.3587
0.293782
0.229077
#synapses weights
-0.53319
-1.28831
-3.38247
0.565367
-1.40074
0.0241917
-0.422371
0.787818
-0.0209384
-0.951793
-1.1943
1.83914
0.397634
0.562709
2.91822
0.546813
0.518563
0.0223699
0.406551
-0.368649
-0.251393
0.308618
0.832698
-0.43372
0.110581
0.185695
0.916148
-0.928961
-0.465817
-1.40001
0.621221
0.283458
-0.549571
1.00634
0.243105
-2.55475
0.373702
-0.774964
-0.37044
-0.000117903
0.146845
-0.11042
-0.629364
0.454885
-0.317387
-0.599305
-0.541313
1.11377
-0.871296
-0.702823
-1.63696
0.131791
-0.436727
0.173748
0.0227957
-1.28124
0.0369146
-1.08279
-0.804041
2.79254
-0.45232
-0.62093
0.165403
-1.52141
1.31378
-0.535763
0.662274
-0.641871
0.15646
-0.34334
-0.928941
1.5288
-1.11404
0.835221
0.219275
0.988218
-0.386239
0.432977
0.660255
-0.225428
1.58262
0.666594
0.421614
-2.33327
0.298908
0.906933
-2.13579
0.561777
0.315929
0.363445
0.44133
-0.0265819
0.243913
0.429068
0.828051
4.40218
0.401151
-0.535792
-1.08491
1.36159
0.411259
-0.183443
-0.321186
-0.39795
-0.17022
-0.702625
-0.223921
0.235659
0.32076
1.45497
1.36568
-1.13241
0.145959
-0.535541
0.142957
-0.152055
-0.116118
0.294382
0.742369
-1.34411
-1.0706
0.222014
-0.0662494
-0.150389
-2.45249
-1.34114
-0.0589974
-0.287977
-0.504677
-0.192743
-0.287618
-0.899126
-0.0220054
0.256005
0.833676
1.2721
0.0421853
-0.0444257
-0.0983374
-0.0202887
-0.0247845
0.487947
-0.509278
-2.23233
-0.347693
-0.859118
-0.794619
2.31553
0.877055
-0.221478
0.0921978
0.56451
0.463698
-0.943336
-1.38034
-0.652556
-0.255118
-0.324868
-0.372582
-0.209162
0.135431
-0.232661
0.0337906
-0.183202
0.0463388
0.124069
0.189412
0.125902
0.474176
-0.698467
0.0385623
0.718558
-0.0861767
-0.174829
0.134262
0.228715
-0.129814
-0.00638851
-0.170125
0.328541
-0.119047
-0.114402
0.841544
-0.177797
-0.217758
-0.0307548
0.141475
-0.138041
0.131081
0.193043
0.141247
0.168586
0.227859
-0.294479
0.0135227
-0.0677665
-0.162104
0.540248
-0.00140011
0.138722
-0.0364084
0.161685
0.342808
0.200543
-0.0217551
-0.128358
0.373488
-0.296856
-0.257946
0.541384
-0.303421
0.620015
0.202104
0.914429
-0.246339
0.708685
-0.395699
1.1381
-0.242047
-0.315709
-0.109222
-0.126851
0.558533
0.570542
0.841197
-0.149111
0.899941
0.138509
-0.587635
0.0859761
-0.0863302
-0.650411
0.29325
0.98328
-0.177989
0.542889
-0.0199053
-0.126569
-0.172926
-0.051262
-0.0255337
-0.169815
0.20418
-0.84389
-0.19296
-0.0223509
0.563656
0.274103
-0.513137
0.825962
-0.17887
0.178678
0.00659235
-0.0478615
-0.406093
0.215457
0.652893
0.468979
0.129747
0.0565818
0.630014
0.00717987
0.474222
-0.338157
0.618408
0.278671
-0.0545584
0.54107
0.0198863
0.513337
-0.191053
-0.0113137
-0.426201
1.34472
-0.447448
-1.41132
-0.147807
0.73612
-0.227966
-0.486366
1.26652
0.627637
-1.51118
-0.245789
0.292466
0.325748
2.49991
-2.52946
-1.60816
0.708494
1.98476
2.67839
-1.8625
2.55381
-0.834238
-0.201856
-1.54689
-2.03882
-1.91646
-0.544555
0.346368
0.310738
-0.250318
-0.635788
-0.08003
0.103872
0.0913194
0.385495
0.205972
0.0968394
-0.368581
0.0304329
0.363011
-0.108591
0.0561399
-0.106489
0.324249
-0.388519
0.108992
-0.182538
-0.0432188
-1.47332
2.22907
-0.0524966