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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 03:26:35 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: 30032


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.0159,326.743]
                       dilmass                       dilmass    'F'    [16.0035,425.661]
                        metmag                        metmag    'F'    [0.0332514,258.814]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.13365]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,330.537]
                       jet2_Et                       jet2_Et    'F'    [0,131.025]
                       dildphi                       dildphi    'F'    [0.000335625,3.14159]
                          lepR                          lepR    'F'    [0.368166,4.25751]
                        metsig                        metsig    'F'    [0.0029975,12.7445]


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

#input normalization
32.4654 91.1861
17.1056 47.7116
20.8518 84.9766
25.3147 19.6192
27.8189 105.879
0.782193 0.717984
0.572739 0.707462
17.9015 16.9981
5.7661 1.04358
0.76904 2.49124
0.681145 2.67361
2.11992 1.56451
#output normalization
1 0
#neurons weights
-0.135653
0.395061
-0.212313
0.346761
0.467152
-0.329273
0.0505452
-0.412059
-0.273706
0.483778
0.302333
-0.433193
-1.73672
-0.573085
-0.313838
0.151504
-0.30589
1.60999
-0.259825
-0.217437
0.94101
-1.09056
-0.188694
0.135652
0.659987
0.289041
0.143294
0.313559
-0.65881
0.600939
0.033697
0.351672
-0.124671
0.652608
0.140875
0.109745
1.31823
0.184479
#synapses weights
-0.157936
0.131553
0.635027
-0.217603
-0.659038
1.26736
-0.0160571
-0.440233
-0.0385363
-0.19921
-0.103635
-2.59253
-0.388289
-0.386472
-1.5617
0.561943
-0.42209
0.167936
0.224365
0.356616
0.062396
-0.460822
0.155084
0.403034
-0.545715
-0.0946293
-0.0983077
-0.0879085
0.854888
1.05332
0.49087
0.17142
-0.239944
0.167458
-0.170138
2.44646
-0.0969941
0.0121697
-1.36699
1.41134
0.520061
1.26267
0.631506
-0.420861
-0.140657
-1.86843
-0.92621
-0.367157
0.0392226
-0.265309
-4.9218
0.524009
-1.00682
-0.393019
-0.44427
0.370571
-0.0839198
0.695201
-1.07328
2.73109
-0.153777
0.219319
-2.78089
0.469905
-1.44185
0.141111
0.431429
0.0614179
-1.7608
-0.12559
-0.561772
-1.09083
-0.292462
-0.101008
-0.384769
2.42902
1.34957
-0.399184
0.00076556
0.511882
-0.0736584
0.3677
-0.0624931
2.14485
-0.556729
0.0984706
-0.121427
-1.7499
-1.25842
1.06692
0.435549
0.0719943
-0.612658
-0.160432
-0.287077
-0.340332
0.191691
-0.00934749
1.3179
0.128328
1.00999
0.313036
0.0598335
0.445911
-0.164332
0.103246
-0.95092
0.607711
0.418681
-0.288844
-0.616075
0.74047
-0.720383
-0.000916185
0.202523
0.317619
0.586942
-0.332826
0.421922
-0.567815
0.0284284
0.101427
0.325081
-0.608434
-0.577576
1.3606
-0.220491
-0.163789
0.419122
-0.799795
-1.10244
4.76636
-0.069188
-0.575043
-2.21519
1.94014
0.949567
0.640623
0.0405561
-0.645083
-0.0153584
-0.520284
-1.11072
3.31121
-0.351199
-0.211793
-0.427066
1.0078
-0.293713
0.132377
-0.708843
-0.050599
0.54141
-0.059627
0.502048
0.844102
-0.240651
0.0938677
0.718621
-0.622069
-0.118678
-0.591609
0.988191
-0.0148153
0.164762
-0.0497278
0.969864
0.405292
-0.149693
0.203043
-0.375104
0.173379
-0.366984
0.498943
0.0663307
-0.0356662
0.141878
0.16466
-0.0941421
1.17632
0.087456
0.287859
-0.30622
-0.532311
0.60238
-0.159586
-0.123651
0.122933
-0.446996
-0.273596
0.372687
0.201454
0.355998
0.113056
-0.100483
0.35317
0.231553
-0.393071
0.0498444
0.0626791
0.31288
-0.779896
0.139757
-0.105059
0.17549
-0.0474643
-0.170903
-0.338989
0.196357
-0.234212
0.160807
-0.180102
0.299329
-0.412205
0.843484
-0.139209
0.31816
-0.112377
0.982911
-0.10087
0.676887
0.404036
-0.399141
-0.220118
0.0541168
-0.45441
0.255628
0.680849
-0.388726
0.336175
0.598207
-0.670733
0.152698
0.367541
0.232081
0.013172
-0.200255
-0.391691
0.0475709
0.0867233
0.0770775
0.401347
0.167575
-0.289391
0.948163
0.189761
-0.0701309
0.171176
0.355976
0.394877
-0.119462
0.181996
-0.309746
-0.494864
-0.201711
-0.29867
-0.0367976
-0.282004
-0.280915
-0.0177745
2.69935
1.03744
-2.00767
2.0261
-3.02892
2.37547
-0.882108
-1.09578
-0.268678
1.36585
-3.50075
-0.608252
0.102781
0.133872
0.314745
0.314039
-0.318355
0.501271
0.52198
-0.0270435
0.0966176
0.20639
0.149413
0.426422
0.114102
0.879474
0.169705
0.118264
0.2171
0.803952
-0.221025
0.0541553
0.12962
-0.0196007
-0.194495
-0.0446403
0.506633
0.662057
-0.704211
0.245041
-0.607825
0.964499
1.76284
-1.01502
-0.515458
-1.45727
1.20699
1.60279
0.252094
1.70072
-0.0394042
0.762035
-0.866684
-0.0551068
0.2221
0.251709
-0.353785
0.209014
-0.145965
0.0113287
-1.6903
0.154424
-0.320036
1.9582