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

Method : TMlpANN
Creator: cafuser2
Date   : Sat Jan 27 13:55:43 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_30761/work/macros3
Training events: 102532


#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'    [20.0753,376.185]
                        LepBEn                        LepBEn    'F'    [10.0156,296.424]
                       dilmass                       dilmass    'F'    [16.0031,486.044]
                        metmag                        metmag    'F'    [0.00882513,118.004]
                         addEt                         addEt    'F'    [32.73,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13819]
                    ntightjets                    ntightjets    'F'    [0,4]
                       jet1_Et                       jet1_Et    'F'    [0,83.6278]
                       jet2_Et                       jet2_Et    'F'    [0,40.0477]
                       dildphi                       dildphi    'F'    [8.83556e-05,3.14159]
                          lepR                          lepR    'F'    [0.316889,4.35338]
                        metsig                        metsig    'F'    [0.00104551,8.81222]


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

#input normalization
19.9493 57.1819
10.275 37.7476
23.7077 77.1306
17.4807 14.9512
15.1813 88.1433
0.63125 1.05765
0.392808 0.139278
9.42323 3.27685
2.66333 0.340522
0.833646 2.66014
0.798158 2.86701
1.68094 1.36717
#output normalization
1 0
#neurons weights
0.396077
0.120561
0.180192
0.259081
-0.117229
0.228568
-0.113082
0.155645
0.417085
0.118921
-0.191125
-0.260502
-0.113665
-0.0173343
0.483246
-0.899686
-0.807103
1.35603
0.334689
0.0108465
-1.16958
-0.102988
-0.804211
0.026485
0.206504
0.627535
0.259781
0.655311
-0.25103
0.406077
0.402451
0.175388
0.516452
-0.460864
0.266415
0.316974
0.846822
0.249813
#synapses weights
-0.274774
0.13744
-0.39208
0.0782613
-0.387148
0.784247
0.0224322
0.200361
-0.114364
-0.22984
-0.388243
0.517741
-0.30849
0.223858
-0.408699
0.391443
-0.252502
1.9393
0.0348018
0.0766408
0.183164
-0.610206
-0.885002
-0.477251
-0.567793
-0.438914
-0.359151
0.121468
1.11084
-0.398929
0.315179
-0.277102
0.0439475
-0.207191
-0.463099
0.529926
0.158105
-0.0223892
0.380471
0.305016
-0.0431001
-1.27724
-0.271098
0.280366
-0.0807433
0.0997841
1.04779
-2.79809
0.313893
-0.196894
-1.11375
1.48862
-0.281089
0.406579
-0.10636
-0.17226
-0.169096
0.00593765
0.192911
0.0436518
-0.0690774
-0.109025
0.710416
-0.267664
0.500602
0.601722
-0.251543
0.072254
-0.0192116
-1.11925
-0.258896
0.678167
0.482437
-0.123004
1.07281
-1.00199
-0.470636
-0.72692
-0.248098
0.192576
0.10444
0.537853
-0.0171629
-3.66154
0.0439821
0.353761
-2.09041
-0.597316
-1.2192
1.44168
-0.314248
0.638801
0.0785564
0.206195
-1.42555
0.255849
0.169744
0.325873
3.78013
-1.62086
0.481692
0.498841
0.455601
-0.488009
-0.211155
-0.900309
0.713882
-2.79789
-0.261418
-0.76089
-1.1382
2.18683
1.46364
0.437265
0.0632286
-0.53825
-0.046818
-1.18245
-0.88256
1.82465
-0.230928
0.25706
0.511908
-0.0845451
-1.20619
-0.149343
0.435727
0.088022
0.145502
0.411733
0.582436
-0.592227
0.29591
0.0791033
1.68369
-2.56684
-0.344961
-0.669933
0.243456
-0.246242
-0.0611492
0.24829
0.510367
-0.974239
-0.0122017
0.49416
1.39059
-0.564464
-0.624082
0.456005
0.137045
0.183716
0.0399635
-0.505487
0.0383601
-4.45984
0.161336
0.313697
0.147347
-0.523807
-0.056855
0.519305
0.456678
-0.182958
0.671997
-0.536216
0.832233
0.721971
0.530116
-0.355113
-0.242327
-0.326576
-0.24151
0.427807
0.0432088
0.667846
-0.127075
-0.0605029
-0.590533
-0.045878
0.840785
0.706583
0.153188
-1.19406
1.26355
-1.72744
-1.2425
1.72735
-1.23188
2.14726
-2.3084
0.0919637
-0.601669
0.341801
-1.81559
0.294463
0.260099
-0.0419139
0.415807
0.197448
0.374684
-0.0881022
-0.0957584
0.059917
0.0444441
-0.0213289
-0.936457
0.235345
-0.105421
0.257345
-0.0294694
-0.274187
0.0390585
0.0895568
-0.70189
0.192762
-0.325852
0.472885
-0.0720465
-0.990285
-0.378798
-0.139152
0.355996
0.185387
0.146857
0.459955
0.337949
0.0686182
0.271145
0.288395
0.00682222
0.115832
0.164596
0.245783
0.556614
0.366031
-0.0329207
-1.5002
0.478565
0.359629
-0.753411
0.0295652
-0.744009
0.128568
-0.0210548
-0.279142
-1.06982
-0.0220623
0.00569017
0.639264
0.385293
0.041902
-0.0649917
0.949226
1.04968
0.772739
0.198152
-0.363705
0.156647
1.06539
0.101611
0.0770437
-0.351148
-0.586799
-0.386803
-0.00955854
0.0192713
0.0163951
-0.0596129
-0.116403
-0.293542
-0.171674
0.550045
-0.345264
-0.0896908
-0.408253
0.224378
0.0464457
-0.24723
-0.457188
0.33245
-0.434755
-0.144115
0.138772
0.0333413
-0.66477
0.199317
0.50423
-0.0577949
-0.713802
-0.131882
0.190116
0.19062
0.441238
0.650167
-0.34085
-0.160217
0.251469
-0.177831
0.190319
0.0763795
0.482577
0.238852
0.401011
0.503147
0.518197
0.253216
0.295924
0.504806
0.145647
-0.259914
0.632213
0.820301
0.615571
1.76999
-0.270764
-0.720922
-0.0921171
0.432377
-0.681797
-0.313912
-0.0908581
0.252485
-0.782478