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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 04:53:38 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_20638/work/macros3
Training events: 30330


#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'    [20.0976,308.823]
                        LepBEn                        LepBEn    'F'    [10.0381,386.004]
                       dilmass                       dilmass    'F'    [16.001,567.836]
                        metmag                        metmag    'F'    [0.0417844,345.497]
                         addEt                         addEt    'F'    [33.7617,562.99]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000296664,3.13564]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,314.562]
                       jet2_Et                       jet2_Et    'F'    [0,123.772]
                       dildphi                       dildphi    'F'    [4.2571e-05,3.14158]
                          lepR                          lepR    'F'    [0.401354,3.64288]
                        metsig                        metsig    'F'    [0.00334611,16.6228]


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

#input normalization
11.391 56.8116
9.04651 40.7477
21.9118 83.7551
25.2618 19.1214
26.6063 109.598
0.808732 0.668588
0.544888 0.213993
19.1338 6.4885
5.91899 1.09341
0.803511 2.61025
0.723567 2.6801
2.09848 1.53434
#output normalization
1 0
#neurons weights
0.0765503
-0.239118
-0.0644261
0.13758
0.139656
0.144815
0.209084
0.161947
-0.269096
0.167639
0.412074
-0.318717
0.569539
-1.02591
-0.0393592
-0.680993
1.04618
0.180353
-2.12474
-1.02036
0.444937
-0.757939
-0.129345
0.736942
0.760545
0.593067
0.42057
-0.241103
-0.31465
0.688044
0.0140988
0.438632
-0.602308
0.242424
-0.644811
0.4411
-0.438571
-0.162108
#synapses weights
0.272497
0.470999
4.20067
-0.637574
0.519524
-0.30327
0.195104
-0.0129353
-0.0581398
0.286982
1.02256
-1.1085
0.771163
-0.0332338
1.73773
-2.64091
-1.78612
-0.894048
0.0271519
0.0414849
0.0355156
1.24283
0.620546
-1.85607
0.53544
0.515012
-0.28014
1.93448
1.29799
0.44364
-0.190955
-0.649444
0.376457
-1.23846
-0.645638
1.55422
0.732717
0.0665469
0.341727
-0.701226
-0.920351
-0.14471
-0.0130524
-0.0105172
0.22758
0.747693
0.458458
-2.61223
0.0346267
0.110362
0.363143
0.0310371
1.33838
0.0533036
0.34357
-0.105276
-0.188819
-1.02827
-0.706848
1.76515
-0.236405
0.136667
0.743762
-0.300629
-1.18591
-0.586202
0.162141
-0.0947461
-0.612122
1.13885
0.703915
-0.0310608
0.513419
0.657008
2.54732
1.33478
3.29347
0.394664
0.192795
-0.538319
0.19122
-0.110147
-0.169906
2.90716
-0.734181
-0.692376
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0.222494
-0.0200882
-0.448423
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0.404784
-0.240603
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-0.303107
-0.816811
-0.126189
-0.0375149
-0.973749
2.02827
0.219596
0.145981
0.189525
0.22348
1.07453
-0.59487
0.0243314
0.168443
-0.173901
0.00918867
0.213367
0.638278
0.097022
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0.216438
-0.00231293
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0.00033146
-7.373
0.516845
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-0.0292278
0.0758433
0.231201
0.512685
-0.0831127
0.357073
-0.701267
0.243977
0.00266495
-0.4283
-1.35691
1.93677
0.700203
0.9851
-0.14781
0.0906391
0.00633824
-0.88709
-1.0756
1.45782
-0.260491
-0.0500412
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-1.40878
0.128587
0.244242
-0.0696733
0.173241
0.103469
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-1.15129
3.69062
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1.41779
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0.479691
0.917023
1.46542
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0.358558
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0.580241
0.749454
0.292392
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0.586818
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0.302931
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0.917556
0.291967
0.589321
-2.35909
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0.987544
0.351475
0.980254
0.778561
0.440522
0.364561
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0.115295
-1.32489
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1.34916
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-1.20084
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0.703715
0.103647
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1.75971
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0.246932
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2.92948
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0.0923091
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0.971645
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0.297165
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0.178347
0.0731211
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0.176475
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0.343925
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0.424063
0.00154163
0.646092
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0.136352
0.112617
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0.013862
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0.338758
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0.410266
0.151186
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0.112007
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-0.139804
0.506779
0.675132
-0.22998
0.411819
0.184143
0.90328
0.370496
0.147307
-0.035672
0.375499
-0.413272
-0.0968722
0.151481
-0.174486
-0.218955
0.305319
-0.483019
0.447384
-0.00206186
0.0550722
-0.503014
-1.33447
-0.671811
2.36784
-0.261058
0.225002
0.618128
0.0540646
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0.485055
0.149384