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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 03:34:15 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: 46454


#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'    [20.0336,350.128]
                        LepBEn                        LepBEn    'F'    [10.0798,348.987]
                       dilmass                       dilmass    'F'    [16.0004,457.471]
                        metmag                        metmag    'F'    [0.0332514,244.245]
                         addEt                         addEt    'F'    [31.231,461.293]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.81681e-05,3.13614]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,288.951]
                       jet2_Et                       jet2_Et    'F'    [0,133.598]
                       dildphi                       dildphi    'F'    [8.74013e-05,3.14159]
                          lepR                          lepR    'F'    [0.317601,4.28201]
                        metsig                        metsig    'F'    [0.0029975,12.5114]


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

#input normalization
20.2278 53.8196
16.4357 44.6144
23.4769 78.7953
22.3584 21.3511
24.4604 93.7089
0.648349 1.46405
0.565494 0.69571
16.4323 13.8112
5.32745 0.923504
0.906776 2.51976
0.88737 2.82571
1.96019 1.80755
#output normalization
1 0
#neurons weights
0.0176539
0.0313471
-0.0381873
-0.198232
0.038091
-0.0127037
0.341119
0.0177005
-0.0642789
-0.410556
0.265261
0.405078
0.310071
-0.885844
-0.404066
-0.0684234
-1.78964
1.51371
0.0244237
-0.0640168
0.143315
-0.450521
-0.505775
-0.29228
-0.00611257
-0.122284
-1.0613
0.366058
0.771634
-0.525683
0.592984
-0.61258
0.814672
0.153331
0.123452
-0.297061
0.452408
1.28535
#synapses weights
-0.514469
-0.260817
-0.454587
-0.0117569
0.351988
0.630023
-0.311034
0.0874192
0.0746736
-0.626177
-0.500513
-0.0280738
0.0173189
-0.0328647
3.25868
-0.498832
0.826435
-0.647144
-0.174465
-0.243549
0.0881668
-0.227335
1.1553
-1.69033
0.163857
0.0632315
1.80669
-3.3979
-0.810869
-0.109912
0.244761
-0.144306
-0.290452
0.609087
-0.063065
-0.232082
-0.180136
-0.169133
1.92123
-2.02006
0.166676
-0.368416
0.20022
0.00142335
-0.11465
0.307438
0.0206535
-1.58364
0.134545
-0.525135
1.11788
-2.02852
-0.238823
-0.780061
0.35994
0.0784994
-0.137883
0.214453
0.750028
-4.19237
0.0103744
-0.375464
-1.68066
1.01002
0.874637
-0.388911
-0.365506
0.067269
0.412189
0.560883
-1.10218
4.64872
-0.139373
-0.119455
-0.584593
0.650649
-0.482611
0.00553391
-0.16593
-0.217203
-0.0947413
0.323503
0.423351
-0.232732
0.125996
-0.117454
0.054194
-0.829152
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-0.14614
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0.649248
0.867657
-2.64466
0.262248
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0.71027
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0.149122
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0.249051
0.052472
0.439838
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-0.204966
0.0932209
0.0773415
0.43783
0.348596
-0.444338
-0.653908
0.592562
1.90982
-0.745705
1.37076
0.904629
0.349174
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-0.792642
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-1.19791
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0.227421
0.787851
-0.273656
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0.0528382
0.161622
0.0557348
0.290834
0.761473
0.683724
-0.7026
0.140439
0.522073
1.04112
-0.831334
0.261956
0.536598
0.117166
0.00885125
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0.566059
0.173018
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0.83124
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0.164235
1.22126
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0.0199331
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0.767638
0.0297327
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1.33097
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1.74638
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0.613053
1.42955
1.36476
1.14821
1.39798
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0.0604059
0.338091
0.32815
0.53991
0.1504
0.00529834
0.115686
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0.221136
0.295324
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0.409134
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0.424671
0.125069
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1.35587
0.10181
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0.450356
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0.340947
0.104083
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0.0623353
0.00573646
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0.078869
0.0445924
0.550257
0.224104
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0.00018669
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0.232723
0.0350445
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0.0823477
0.218643
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0.226306
0.261945
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-1.2065
-1.00043
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0.366146
0.758378
0.19777
0.341647
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0.347303
0.204759
0.042214
0.719536
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-0.658692
-0.962824
1.21093
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-0.106114
0.111084
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0.0270829
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0.642048
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0.0934718
0.344984
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0.100288
0.148721
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0.014843
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0.548018
0.711378
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0.65591
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0.351622
0.19745
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0.252139
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0.0691839
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-0.398553
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0.220178
0.0976069
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0.228885
0.296672
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0.624019
0.664752
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0.192892
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0.517525
0.593725
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