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

Method : TMlpANN
Creator: cafuser4
Date   : Fri Feb  2 06:32:25 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_26266/work/macros3
Training events: 22008


#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'    [20.0167,439.104]
                        LepBEn                        LepBEn    'F'    [10.0094,357.837]
                       dilmass                       dilmass    'F'    [16.0027,607.878]
                        metmag                        metmag    'F'    [0.248054,248.645]
                         addEt                         addEt    'F'    [33.4645,622.312]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000171969,3.13439]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,82.6718]
                       jet2_Et                       jet2_Et    'F'    [0,37.704]
                       dildphi                       dildphi    'F'    [4.55707e-05,3.14154]
                          lepR                          lepR    'F'    [0.31422,4.18279]
                        metsig                        metsig    'F'    [0.0163861,15.0071]


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

#input normalization
43.4464 93.3967
19.2633 39.2642
32.4441 55.5745
27.8369 63.6837
48.3823 146.37
0.700165 2.06145
0.38844 0.136541
9.56559 3.2941
2.61235 0.328253
0.70298 1.40801
0.679839 1.61138
2.31963 5.61726
#output normalization
1 0
#neurons weights
-0.0299785
-0.0386398
-0.0751232
-0.199849
-0.116652
-0.350454
-0.103991
-0.306722
-0.317788
-0.35072
0.465815
-0.00782755
1.42802
0.088107
-0.803943
1.18492
0.354074
-0.60204
-0.854318
-2.01501
-3.91151
-1.8483
0.0178722
0.414213
-0.383889
-0.240367
-0.279065
1.28441
0.0179504
-0.695939
0.72935
-0.132798
0.0681138
-0.0623748
-0.0229159
0.613428
0.066845
0.367309
#synapses weights
-0.764272
-0.283715
1.30623
0.55602
0.97228
0.557107
-0.295113
-0.074488
-0.00218291
0.810449
0.477673
-0.251989
-0.206335
0.118218
1.12709
0.939717
-1.26908
0.473591
0.212856
0.0938511
-0.269169
0.919035
0.325108
0.0908263
0.374901
-1.24785
-1.63695
-0.318962
-0.312663
-1.99825
0.121522
-0.00732487
0.317207
-0.44022
0.239787
0.117955
0.556675
-0.322325
0.678594
1.26749
1.84839
-0.0741331
-0.61496
-0.987458
-0.516495
0.303423
-0.694711
2.02625
-0.250427
0.339381
0.836321
1.26679
2.67287
-0.312177
1.06067
-0.825909
-0.498121
-0.374351
-1.82167
0.275738
-0.240165
0.0123093
-0.614012
-0.71593
-0.943362
-1.0616
1.10133
0.939647
0.432711
-0.881449
0.240173
-1.15789
-0.789431
0.75902
-1.19587
-1.0735
-1.50127
1.39479
0.397242
-0.207163
0.240706
1.53078
-0.526882
-0.552701
0.514759
-1.90106
-1.3456
-0.765058
-1.50389
-0.099435
0.286895
0.236564
-0.0815386
-0.711732
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-0.662206
-0.249118
0.143137
-3.62901
-2.0308
-3.05963
-0.127085
-0.128574
0.0757025
-0.08311
0.850898
0.326331
-0.460826
0.343464
0.29392
1.68152
0.53297
0.753982
-0.533622
-0.260999
-0.0262665
1.01958
0.164086
0.630147
-0.789834
0.0182821
0.192233
0.965556
-0.0687623
0.846552
-0.181018
0.0479499
0.197014
-0.221649
-0.0892519
0.343771
0.142632
-0.372558
1.43894
2.27729
-0.311709
-0.758105
0.988444
0.54005
-0.0769553
-0.339839
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-0.63559
-1.9292
-0.884234
1.29641
0.48595
0.476861
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0.757217
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0.178615
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0.670933
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0.266155
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0.328864
0.127712
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-0.513955
-0.238879
1.1103
-0.534086
0.246201
1.05103
0.607855
0.507049
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-1.14684
-1.16883
0.519259
1.30225
0.246209
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0.2002
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0.183924
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0.122729
0.0990327
0.182886
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0.106103
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0.199791
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0.385566
0.0139447
0.408979
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0.155289
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0.320944
0.421267
0.050156
0.350344
0.183853
0.0862948
0.162315
0.219384
0.263104
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-0.143083
0.361224
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-0.563316
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-0.801379
0.38559
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0.305495
0.377297
0.296502
-1.0377
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-0.623626
0.30931
-0.31265
0.0323559
0.421295
0.46048
0.0368941
0.116225
0.0390063
0.11669
-0.319208
0.38432
0.196214
-0.330838
0.162865
-0.2722
-0.345282
-0.511002
-0.24973
-0.1208
-0.232955
0.0891062
0.0958559
0.0673625
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0.0182785
-0.459604
-0.604125
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0.338591
0.13352
0.0370299
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-0.343632
0.682063
0.12521
-0.992387
-0.700568
-0.336616
0.102521
2.4544
1.84184
-1.20365
2.90469
3.11733
-2.26035
-2.39528
1.14823
-4.31716
2.74644
1.35414
2.68122
0.843082
0.0580429
-0.0885718
0.248206
0.11422
0.056223
-0.359015
0.322627
0.221595
-0.0111772
-0.0385343
0.299996
0.492473
-0.10068
0.52753
-0.210634
1.12079
-0.185452
-0.107132
-0.113616
0.7736
0.00374849
-0.129009
-0.273866
-1.22733
-0.0701181