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

Method : TMlpANN
Creator: cafuser3
Date   : Thu Feb  1 03:01:07 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_17323/work/macros3
Training events: 24766


#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'    [20.029,560.525]
                        LepBEn                        LepBEn    'F'    [10.0405,354.2]
                       dilmass                       dilmass    'F'    [16.0032,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [35.908,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000199058,3.13746]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,71.9168]
                       jet2_Et                       jet2_Et    'F'    [0,38.5359]
                       dildphi                       dildphi    'F'    [0.000184053,3.14158]
                          lepR                          lepR    'F'    [0.402361,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.2247]


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

#input normalization
26.7013 53.5455
20.9538 45.8665
33.8576 76.2976
24.4381 22.048
31.6347 101.35
0.841865 1.03075
0.394519 0.138774
9.58769 3.31418
2.73419 0.35777
0.906702 2.40182
0.774286 2.56818
2.18243 1.97705
#output normalization
1 0
#neurons weights
-0.166281
0.442042
-0.45712
-0.403797
0.149744
0.220808
0.365484
0.00640116
0.148751
0.0428795
-0.0244955
-0.105287
-0.266784
0.340747
-0.0826736
-5.34834
-0.330482
0.115296
-0.0995431
0.868975
-0.733263
-0.905997
1.61071
-0.0724356
1.04839
0.224985
0.0308647
-0.169239
0.562518
-1.12231
0.0965391
-0.0740436
-0.603544
0.334611
0.423245
-1.33838
-0.142464
0.217149
#synapses weights
0.817644
-0.264186
-0.000680493
-0.948857
-0.141416
-0.019784
0.053778
0.269962
0.301156
-0.408915
0.446187
0.116252
0.514485
0.011006
-0.184076
0.602313
1.16586
-0.751012
0.339449
-0.644171
-0.317102
1.53839
1.39139
0.451416
-0.164327
-0.531792
0.481184
-0.423474
-0.401408
0.618879
-0.825779
-0.134712
-0.167226
1.89448
0.400953
0.023042
0.232761
-0.0948107
2.72763
1.66309
3.35476
-0.454588
0.000899352
-0.275479
-0.019948
-2.03951
0.626979
0.195513
0.132827
-0.784157
-0.54931
-1.08323
-0.111614
0.311134
-0.910062
0.306522
-0.279842
-0.0446341
0.803198
-0.750756
0.0888918
-0.323287
-2.73776
0.222753
-0.719655
-0.961155
-0.147044
0.0494774
-0.159313
-0.44664
-0.326207
1.36952
0.096892
0.363109
2.17077
0.336477
1.30682
0.101607
0.12309
-0.257666
-0.0976423
0.885651
-0.768781
0.659104
0.067228
0.623505
1.28993
-0.141779
-3.48476
1.39271
0.45346
0.133539
-0.222093
0.701821
-0.257217
-0.00169285
0.218507
-0.546756
-1.57559
-0.474395
-1.29245
-0.517583
-0.0274042
0.31797
0.21186
0.465544
-0.415153
0.232236
-0.19968
0.413896
-1.53022
-0.0231852
0.183847
0.472171
0.000430536
0.131301
-0.0618966
-0.350372
-0.404609
0.24617
-0.777566
0.326993
-1.15708
-0.160393
-0.918622
-0.883076
0.568128
0.675761
-0.108505
-0.676966
0.64241
-0.504623
-0.360279
-1.05444
-1.68831
0.0448186
-2.00001
-1.07066
0.328941
0.24337
0.203831
0.0645606
-0.896006
-0.0817004
-0.263362
0.158257
-0.910839
-0.136418
-0.25671
1.32732
-0.0114958
-0.152039
0.278165
0.252813
-0.73538
0.699888
-0.395795
0.483816
-0.654884
-0.193413
0.0832674
-0.466161
0.56788
-0.967869
-0.275626
-0.222809
-0.317941
-0.833619
0.0869045
0.237877
-0.220805
-0.44868
-0.97742
0.00784243
0.383235
-0.892724
-0.760339
0.100241
0.143582
0.0654938
-0.433226
0.101719
0.0847171
0.132272
-0.252624
-0.989255
0.00433661
0.290322
-0.470941
-0.726394
-0.371725
0.269022
-0.00725349
-0.1995
0.243389
-0.320885
0.486971
0.977972
0.910786
-0.227082
-0.403038
0.85636
0.548794
0.215956
-0.979875
-0.625208
0.0928193
0.107575
1.06658
1.26191
-1.32447
-3.69973
0.459254
1.62152
-2.03806
-2.35211
0.347273
0.718601
1.37418
-0.281439
1.23753
0.416998
0.145594
-0.142937
-0.346536
0.501746
-0.146926
-1.2931
0.738083
1.13141
0.0464918
-0.0288063
0.976394
0.195451
0.0338085
0.21363
0.0795643
0.0772594
-0.671965
0.187251
0.481109
-0.806343
-0.00412188
-0.31443
-0.10004
-0.425183
-0.232057
-0.261711
0.213344
0.212608
-0.768806
-0.163062
0.129665
-0.801279
-0.751409
0.405396
-0.443074
0.143868
0.654401
-0.856733
-0.353556
0.132038
0.427072
0.343043
0.328194
-0.553298
0.40846
0.444292
-0.637143
-0.908914
-0.00713132
-1.04721
-0.237553
0.436014
0.333776
-0.262864
-0.722802
0.446735
-0.272193
0.510722
-0.134009
-0.0977776
0.179487
0.534541
0.18827
-0.0624911
-0.931271
-0.178984
-0.133875
0.309091
-0.494904
0.205056
-0.935234
0.0114491
-0.344036
-0.64387
-0.277485
0.240205
0.201338
-0.235869
0.147641
-0.0984656
-0.484007
-0.220297
0.0713491
-0.278113
0.16208
9.04798e-06
-0.305202
0.181641
0.390564
-0.121307
0.00216661
0.172367
-0.0169783
-0.435003
1.45841
-0.336573
-0.112415
-0.708309
0.681991
-0.061006
-0.159734
-0.235946