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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:53:01 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_12051/work/macros3
Training events: 25646


#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'    [20.2696,407.751]
                        LepBEn                        LepBEn    'F'    [10.0847,308.769]
                       dilmass                       dilmass    'F'    [16.001,622.364]
                        metmag                        metmag    'F'    [0.361877,249.36]
                         addEt                         addEt    'F'    [38.7177,722.412]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.13564]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,68.5373]
                       jet2_Et                       jet2_Et    'F'    [0,39.3597]
                       dildphi                       dildphi    'F'    [4.2571e-05,3.14152]
                          lepR                          lepR    'F'    [0.401354,3.57078]
                        metsig                        metsig    'F'    [0.028176,13.8328]


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

#input normalization
19.1417 65.5445
19.7784 52.6591
45.5084 102.613
22.103 34.2774
32.6888 143.516
0.554149 1.70644
0.408141 0.150832
9.94258 3.60814
2.86261 0.386994
0.771198 2.25791
0.698803 2.37428
1.97502 2.78075
#output normalization
1 0
#neurons weights
-0.389838
0.478989
-0.00443638
0.212437
-0.0132272
0.0139137
0.488425
-0.46087
-0.44012
-0.122287
0.133038
-0.149502
-0.55658
-1.80001
0.251471
-2.06166
-2.18365
0.263211
0.342444
-1.04852
0.117899
0.0227611
-0.0615082
0.0913074
0.454218
0.139871
0.40167
-0.41893
-0.0749181
-0.212786
0.728413
0.439453
0.833394
0.407325
0.142489
-0.277625
0.168712
-0.230731
#synapses weights
0.0363938
-0.200686
0.818626
-0.0510757
0.0518335
0.13439
-0.802828
0.0589032
0.0979294
0.510928
-0.560905
0.815758
0.538777
-0.273118
-0.362841
-0.281624
1.36734
-0.30676
0.432092
-0.0631507
0.615543
-0.769387
0.312534
-0.440395
-0.863235
1.8188
0.416858
0.45283
1.32396
0.329155
0.238702
0.39554
0.560662
-0.769144
-1.71068
-1.07022
0.474743
0.253154
2.32537
0.333921
0.57173
0.509511
0.212108
-0.213937
-0.238325
-0.7215
1.09688
-0.587226
0.840134
-1.142
0.650169
-0.162873
1.15419
-0.331335
-0.296398
-0.12201
-0.129202
1.17575
-0.121734
-0.452985
-0.854894
-0.420459
0.511793
0.52465
-0.256556
-0.235282
-0.110765
0.0815253
-0.126013
0.878629
0.706767
-0.750333
-0.4679
0.67716
-1.11008
-0.398344
-0.350336
-0.768815
-0.0100308
0.0966695
0.181784
-0.856498
-0.92475
0.183166
-0.264177
0.273194
0.390628
0.820508
-1.78702
0.206704
0.181176
-0.0389413
-0.527888
-0.131957
-0.246248
-0.611469
-1.27516
0.220803
-0.791006
0.874028
-0.436177
-0.742794
0.404383
0.0625446
-0.0204973
-0.486377
0.350229
-1.13231
-0.426049
0.557589
-0.127285
-1.22988
-0.519179
-0.0549931
0.140081
-0.132938
0.0604076
-0.621564
-0.118727
1.7901
1.11483
-0.294899
0.63218
-0.897679
0.148147
0.358873
0.0588957
0.154484
-0.597584
-0.620759
0.0354115
-0.58846
0.400473
-0.0904118
0.262423
-0.20676
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0.32335
-0.0966401
-0.178316
-0.315461
-0.537617
0.226052
-0.0544398
-0.938249
0.448022
0.258893
0.119401
-0.663965
0.441295
0.305603
0.339058
-0.630892
1.18538
-0.380997
-0.352433
0.332031
0.235689
1.03496
0.146304
-0.12982
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0.538978
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0.0124793
0.237958
-0.440805
0.353083
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0.255683
0.0965148
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0.1702
0.45076
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0.128804
0.399512
0.607301
-0.271719
-0.418747
0.433944
0.395286
-0.453925
0.256603
0.0925748
0.350572
-0.112935
-0.512012
-0.455363
0.181157
0.0682302
0.431164
0.204606
-0.458674
0.173336
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-0.0758731
0.297462
0.373752
0.546197
0.321888
0.359617
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-0.785852
-0.327471
0.227505
0.656085
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0.0185151
0.0284888
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-1.12623
-1.18987
0.375632
-1.97176
-1.65943
-0.480729
0.126586
-1.73941
1.2224
1.09274
0.940597
-0.233773
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0.214002
-0.114297
-0.330812
0.394024
-0.203806
0.167356
0.74068
0.145406
0.460555
0.428702
-0.383803
-0.315192
0.0703527
-0.3835
0.726578
-1.0651
0.923872
0.712132
0.835527
0.315558
1.29934
-0.308841
-0.179632
-0.236925
0.2732
0.233737
-0.357916
0.0873161
0.103584
-0.0139317
-0.226667
0.113136
0.0538281
0.0714442
0.201383
0.227342
0.0287125
0.396241
-0.229022
-0.198127
-1.12496
0.718998
-1.16798
-0.708467
-0.753395
-0.16313
-0.680168
0.166164
0.579911
0.077402
-0.0920495
-0.206237
-0.487602
-0.284757
-0.0571001
0.0863167
0.355146
-0.0822991
0.169287
-0.0667086
-0.245908
-0.20379
0.0202574
0.273547
-0.14998
0.234199
-0.422468
1.2089
0.370578
0.690688
0.116644
-1.47254
-1.29478
-0.791297
-0.965529
0.972855
-0.0958409
-0.839725
-0.966303
0.363163
-0.550068
0.293173
0.971948
2.41013
-0.307867
-0.93465
-0.13614
0.545807
-0.0895226
1.74018