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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 03:48:31 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_31230/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'    [20.1785,344.546]
                        LepBEn                        LepBEn    'F'    [10.0745,223.413]
                       dilmass                       dilmass    'F'    [16.0124,539.012]
                        metmag                        metmag    'F'    [0.242859,213.263]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.11108e-05,3.13436]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,248.178]
                       jet2_Et                       jet2_Et    'F'    [0,132.741]
                       dildphi                       dildphi    'F'    [0.000257964,3.14158]
                          lepR                          lepR    'F'    [0.358082,4.18182]
                        metsig                        metsig    'F'    [0.0242314,11.6053]


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

#input normalization
22.9958 67.2638
14.6041 28.0325
14.839 52.6107
22.2237 25.5187
33.8896 82.9819
0.851153 0.691107
0.531336 0.205379
17.8639 6.05865
5.57753 1.01141
0.905503 2.53229
0.842954 2.71794
1.74081 2.56803
#output normalization
1 0
#neurons weights
-0.146797
-0.470471
0.111322
0.391544
-0.112142
-0.419709
0.320291
-0.166628
-0.00706089
-0.315987
0.0679069
0.232381
-0.249444
-0.650958
-0.369039
-0.470639
0.68318
-0.000181269
0.590575
-1.83048
-0.951175
-0.298616
1.32643
2.24105
-0.869334
-0.0374226
0.616337
-0.513474
1.18462
0.535367
-0.872679
0.237374
-0.355992
0.0519771
-0.792341
-0.456393
-0.304676
-0.468455
#synapses weights
-0.531231
0.125544
-1.23642
-1.75031
-3.866
-0.857356
0.585376
0.93412
-0.270384
0.666626
0.500592
-3.68419
0.618963
0.17139
-1.20281
0.732979
-2.64255
-3.54742
0.479023
1.24075
-1.4921
0.698785
1.56384
-1.77931
0.928278
-0.151303
-0.0639335
0.339909
0.809348
-0.581461
-0.395989
-0.257308
0.149474
0.689657
0.357275
-1.01477
0.208532
0.601396
0.00131281
0.141678
0.884404
-1.27242
-0.224677
0.581533
-1.20143
-0.0148597
-0.465483
-0.859251
-0.181593
0.431506
-0.599497
0.0735479
1.87852
3.28203
-1.05111
-0.961999
0.0857364
-1.27747
-1.73889
2.32434
-0.260239
-0.0390291
0.851858
0.0738837
0.831806
-0.0682884
-0.258502
-0.0396664
0.407166
-0.350012
-0.672752
0.435554
-0.752476
-0.690975
0.302203
-0.872013
-0.184498
0.570039
-0.216138
-0.589982
-0.881646
-1.09116
-0.585045
-0.330459
0.413818
0.483415
-0.0343555
0.255135
0.51573
-1.6822
-0.544415
-0.58353
-0.877292
0.700649
0.792842
-2.18087
0.44508
-0.227765
-1.12699
0.665012
-0.891413
-2.48169
-0.479022
0.023501
0.461809
0.527522
0.235576
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-0.436473
0.426084
-0.461818
2.7606
0.633254
0.256502
-0.777812
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1.28563
-0.523441
-0.57282
-0.435944
-0.0992765
-0.619066
0.883523
2.0501
-0.852161
-0.23992
-0.0783446
0.817562
0.340097
1.52094
1.94097
-0.545382
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-0.332618
-0.450535
-1.6761
2.46156
-1.4503
0.237766
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0.0861984
0.488301
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2.10469
0.382014
0.206734
-0.309237
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-0.467666
0.806374
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0.901943
0.470711
0.696571
1.69879
1.11464
0.0934705
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0.163472
0.251718
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0.380783
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0.052874
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0.139518
0.245953
0.232466
0.69943
0.176815
0.105344
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0.230423
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0.0451944
-0.295735
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0.190769
0.0377444
0.349931
0.0652162
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-1.95729
-2.04745
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1.65658
0.387097
0.876654
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-2.73505
4.13506
2.40021
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0.823811
0.380458
0.389712
0.159247
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0.14563
0.265842
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0.078154
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0.754028
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0.52435
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0.000133526
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0.0389268
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0.793586
0.165541
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0.102068
0.843573
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1.41221
1.4094
0.271532
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-1.46204
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-0.392393
1.64534
1.28519
0.240005
-0.303175
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0.522762
0.322257
0.358639
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0.0634384
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0.492504
0.160184
0.485922
0.110978
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0.245864
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0.296487
0.110039
0.375087
0.23179
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-1.2347
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1.20092
0.0808865
0.25429
0.445629
0.165461
-0.391614
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-0.532646
-0.275216
-0.274743
0.475937
0.280284
-0.61636
0.614371
-0.00690754
0.0849716
0.0209902
0.0778147
-0.259873
-0.409668
-0.306508
-0.436245
-0.548577
0.537335
-0.505008
-0.0568991
-0.00566709
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-0.196868
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0.372018
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1.71675
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1.03881
-0.287574
0.347611
-0.315896
-0.12381