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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 13:22:38 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_5188/work/macros3
Training events: 56162


#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'    [20.2704,376.185]
                        LepBEn                        LepBEn    'F'    [10.0545,296.424]
                       dilmass                       dilmass    'F'    [16.0014,486.044]
                        metmag                        metmag    'F'    [0.00882513,111.251]
                         addEt                         addEt    'F'    [33.2392,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [7.12609e-06,3.13571]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,88.0566]
                       jet2_Et                       jet2_Et    'F'    [0,39.5696]
                       dildphi                       dildphi    'F'    [0.000116093,3.14159]
                          lepR                          lepR    'F'    [0.327018,4.35338]
                        metsig                        metsig    'F'    [0.00104551,9.53778]


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

#input normalization
21.7802 52.0651
11.7817 28.5988
20.2672 62.7392
17.3056 27.5642
20.7456 89.2516
0.82909 0.763817
0.403096 0.146077
9.63802 3.43282
2.80479 0.376426
0.8585 2.62305
0.849809 2.88025
1.56855 2.60506
#output normalization
1 0
#neurons weights
-0.246405
-0.283198
-0.0560469
0.00871796
-0.298735
0.109504
-0.416494
-0.471826
-0.389598
-0.46057
0.246779
-0.216686
1.709
-1.50774
0.935258
-0.0895574
2.19686
0.560653
-2.59123
0.692605
-1.51188
-1.64952
-0.721467
1.72706
-1.26382
0.391596
0.545247
-0.667488
-0.249767
-0.0066484
-0.0583753
0.281246
0.0157616
-0.483878
0.414019
1.32733
-0.884577
0.328219
#synapses weights
0.0405886
-0.383248
-0.511721
-0.159128
1.48904
-0.00578188
0.0124906
0.113161
-0.241696
-0.495722
-0.374201
1.27916
0.580772
-0.378941
2.87011
-0.171247
0.578841
-0.934949
-0.0729025
-0.18658
-0.168568
0.14518
1.48271
-0.073165
-0.0134517
0.0837206
0.211481
0.0862351
-0.412012
-0.205498
-0.0879736
-0.372358
0.0400334
0.159633
-0.265708
1.81435
0.459159
-0.105775
0.773576
-0.865804
-0.614902
-0.550883
0.0420438
0.522529
-0.00786625
0.396502
-0.383082
0.0221526
-0.0763649
-0.700209
-0.402771
-0.195154
0.52145
-0.624586
0.0962781
-0.139856
-0.0776757
0.211956
-0.239434
1.79777
0.194988
-0.0198179
0.214674
0.506462
-0.410839
0.209601
-0.62663
-0.394158
-0.251753
0.160719
0.199105
1.56224
0.473593
-0.141438
-1.25554
0.930698
-1.79477
-0.915119
-0.682597
0.591512
0.00271628
0.342732
1.13257
-0.621754
-0.864097
-0.133687
0.225628
0.328758
0.0398856
-0.817159
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-0.0244952
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0.805503
0.953994
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0.308746
-1.2533
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0.130425
0.720982
0.528353
0.548435
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0.504343
-2.04307
0.193912
0.253353
0.919076
-1.65447
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0.651233
0.1157
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0.455315
0.497997
-1.48847
0.332357
-0.359392
0.536178
-2.11434
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0.0753974
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0.270775
0.631092
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0.0843169
1.51441
0.904856
1.02123
0.636677
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0.125752
0.417874
2.93567
0.909366
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0.519435
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0.298182
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1.10986
1.0604
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0.964697
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0.0684017
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0.177653
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0.392
0.3024
0.925436
0.716541
0.127544
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0.0739952
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0.786458
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0.524127
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0.259078
0.495874
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0.503021
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0.547663
0.32305
0.695398
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1.82501
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2.13513
1.41828
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0.828575
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-1.48671
2.05878
0.784192
0.426457
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0.333036
0.449278
1.03562
0.571205
0.0860934
0.176288
-0.134697
0.428926
0.241585
1.46572
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-0.047274
-0.111468
-0.192209
-0.848876
-0.685068
-0.291893
0.212077
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-1.29733
-0.980869
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0.615619
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-0.946624
0.199346
0.478028
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-0.831627
0.242874
1.25613
0.0157732
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