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

Method : TMlpANN
Creator: tdavies
Date   : Wed Dec  6 13:49:29 2006
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    : /home/tdavies/TMVA/TMVA2/TMVA/macros3test
Training events: 144924


#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'    [20.0071,285.041]
                        LepBEn                        LepBEn    'F'    [10.0107,96.6494]
                       dilmass                       dilmass    'F'    [16.0004,74.999]
                        metmag                        metmag    'F'    [0.00882513,121.6]
                         addEt                         addEt    'F'    [30.7653,213.383]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [2.27462e-05,3.13797]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,83.8768]
                       jet2_Et                       jet2_Et    'F'    [0,43.2622]
                       dildphi                       dildphi    'F'    [2.63256e-05,3.14159]
                          lepR                          lepR    'F'    [0.229375,6.63888]
                        metsig                        metsig    'F'    [0.00104551,9.74471]


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

#input normalization
15.8399 41.6979
7.18842 27.9199
12.7345 53.74
23.5057 18.2878
29.9005 78.3238
0.855602 0.857539
0.415182 0.159601
10.0402 3.78744
2.81627 0.380716
0.939398 2.51927
0.965007 2.86066
2.12489 1.65417
#output normalization
1 0
#neurons weights
0.107687
0.341004
-0.439484
0.0101542
-0.253283
-0.469221
-0.402054
0.340966
0.250314
-0.255669
-0.113756
0.0926989
0.284166
-0.368085
-0.903916
-0.210178
-0.247607
-1.16509
-1.06353
-0.843869
-0.663763
-0.185864
0.351573
-0.105871
0.369496
0.0499957
0.312933
-0.0574672
0.519494
0.019617
0.0955225
-0.283916
-0.258075
0.062229
0.205733
-0.147235
-0.612979
-0.294259
#synapses weights
0.264456
-0.494955
0.315776
-0.260306
-0.794064
-0.386159
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-0.0342039
0.0809319
0.665684
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0.0033095
0.298602
0.781953
0.500434
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0.0825612
0.0297064
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0.842633
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0.209078
0.145448
1.31919
1.08801
-0.700542
0.0875503
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-0.289023
1.04173
0.352081
0.487524
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0.00169307
0.840463
0.0780574
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-0.102574
0.392305
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0.0555296
0.0281916
0.0318783
0.0236443
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0.0840312
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0.363606
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0.258897
0.0434584
1.61071
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0.249432
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0.784488
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0.042369
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0.166854
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0.759154
1.3758
2.07635
0.22594
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0.167184
3.36797
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0.505603
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0.501923
0.554623
1.70047
0.0899938
0.0046304
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0.353587
0.103994
0.151881
0.0993447
0.353001
0.145929
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0.130502
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0.797817
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0.0914165
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0.556454
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0.329383
0.101614
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0.60807
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0.16342
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0.078565
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0.155733
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0.184951
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0.521957
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0.887469
0.673626
0.110105
1.23377
-0.880518
0.369312
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-0.174648
0.954263
-0.761504
0.969152
1.03718
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0.928378
0.0225173
1.17547
-0.569973
0.406556
0.0878988
-0.120312
0.338362
1.1896
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0.507871
1.06771
-0.441795
0.629076
0.148343
2.39946
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2.88318
0.987839
-2.93687
0.206728
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-0.12352
-0.977803