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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 04:01:16 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: 17966


#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'    [20.1862,344.546]
                        LepBEn                        LepBEn    'F'    [10.0404,223.413]
                       dilmass                       dilmass    'F'    [16.0045,539.012]
                        metmag                        metmag    'F'    [0.242859,294.402]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.39684e-05,3.12778]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,337.332]
                       jet2_Et                       jet2_Et    'F'    [0,135.698]
                       dildphi                       dildphi    'F'    [0.000356376,3.14158]
                          lepR                          lepR    'F'    [0.219212,4.18182]
                        metsig                        metsig    'F'    [0.0242314,12.3887]


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

#input normalization
23.2889 69.6284
15.9992 28.7792
16.9762 56.1443
22.9735 25.6257
38.0192 85.1884
0.787113 0.649906
0.540729 0.211598
19.521 6.57858
6.02111 1.10261
0.820699 2.59857
0.748578 2.78738
1.71824 2.52984
#output normalization
1 0
#neurons weights
-0.0917017
0.401161
0.107495
-0.019353
0.404223
-0.0682956
0.233212
0.351226
-0.416159
-0.182932
0.0717709
0.411793
-1.97626
-0.555592
-0.103939
-0.09721
-0.875636
0.00439377
0.475218
0.672359
-0.973478
0.59241
0.222702
-0.709508
-1.56005
0.431164
-0.140203
1.06174
0.200453
-0.317972
-0.0713914
0.785168
1.75761
0.0957244
-0.54694
0.247769
0.015734
0.937113
#synapses weights
-0.432487
-0.124808
1.24377
-0.236602
3.18341
1.47276
0.274556
-1.48559
0.678008
-1.13506
-2.17104
2.44823
0.118673
0.247187
-0.93879
0.792643
-0.289947
-0.058568
0.291037
-0.133722
0.33477
-0.276917
-0.789775
0.50359
-0.238041
-0.174124
0.329629
0.107144
0.404446
0.621882
-0.0100318
-0.378581
-0.0760407
0.265435
-0.514846
-0.105572
-0.0500321
0.25061
0.00194521
0.551076
-0.0867325
-0.774982
-0.0238317
-0.0586286
-0.416174
0.351707
0.412971
-1.20439
0.0590578
-0.12112
0.787294
0.742187
1.73083
0.663537
0.46848
-0.533021
-0.234288
0.752922
1.19839
1.64442
0.0321448
0.250024
-0.507182
-0.663552
0.856253
1.57681
-0.260721
-1.25787
-0.136061
-0.854429
-1.97642
0.75224
-0.902949
-0.47208
0.136388
-0.654796
2.45221
-0.427316
0.105361
-0.455953
0.151915
0.569421
-0.924853
0.757113
-0.495541
-0.0299299
0.272453
-0.850179
-0.749348
0.803626
-0.351529
0.695722
0.252911
-0.668857
-0.772728
1.74872
-0.425467
0.0340828
0.366003
2.46313
0.569183
1.21586
-0.317874
-0.256741
0.627429
0.0737791
-0.785208
-0.924881
-0.758628
-0.405858
-0.0912962
0.779342
-0.498983
1.29538
-0.0286346
-0.742614
-0.195883
-0.983583
-0.815595
-0.142603
-0.300723
0.144101
1.4976
-0.27276
2.16596
2.85104
0.0656148
-1.51167
-0.583293
-1.2068
-1.27696
1.66279
-0.0864255
0.101319
0.09471
0.342936
0.73619
1.69833
0.0153551
0.243193
0.353839
-0.836561
-0.728151
1.2105
0.0245708
-0.0951726
-0.399687
0.818429
-0.0418299
-2.41308
-0.0741544
-0.166758
-0.0295542
0.689379
0.127126
0.250653
-0.740896
-0.427744
0.405931
0.0390783
-0.0754001
0.357056
-0.266893
-0.385998
0.734747
0.174236
-0.0760594
-0.386922
-0.112685
-0.354128
0.136204
0.0890147
0.330694
-0.138244
0.331621
0.0638497
0.15614
0.945211
0.183089
-0.184986
0.507992
-0.145094
0.0699517
0.397671
-0.00164669
0.465242
-0.32669
-0.38213
0.0442014
0.640782
-0.643263
0.151557
-1.04138
0.259229
0.516921
-0.0651482
0.241692
-0.371126
0.185259
-0.236022
0.428568
-0.531836
0.907866
0.212827
0.355516
-0.296718
0.161916
0.0375859
-1.26719
-0.0634002
0.152611
0.327336
0.535633
0.119713
-0.519696
-0.111581
0.313784
-0.411076
-0.432065
-0.515387
0.0486862
-0.0312639
-0.134036
0.257951
0.0687587
0.17722
-0.640697
0.193146
-0.30717
-0.77696
-0.155072
0.0689415
0.0872164
-0.412448
-0.454169
-0.172288
0.945875
0.824615
-0.831649
-0.593211
-0.733214
-0.751716
0.406088
-0.0312818
-1.06748
-0.300072
0.960891
-1.34407
0.483825
1.86316
2.37011
-1.86338
-1.44171
-1.93644
-1.96627
1.7635
0.767989
-1.49617
-0.282114
2.32356
0.128935
0.243544
-0.000778227
-0.265185
-0.285834
0.0508281
-0.268003
0.550402
-0.259773
0.0177289
0.548375
0.441426
0.25719
0.305194
0.173934
-0.331344
-1.2215
-0.395639
0.66483
-0.445467
0.954032
-0.177274
-0.0761278
0.108779
0.949415
-0.797895
-0.431779
0.139822
-0.124625
-0.464779
-0.591173
-0.117888
-0.00684586
-0.173756
0.119685
-0.0380348
0.249396
-0.485943
0.248541
0.787702
-0.128371
-0.474746
0.524964
0.53024
0.175267
-0.118058
0.253541
-0.258599
0.0134745
-0.0446589
0.187578
0.190576
0.603226
0.240482
0.776946
0.415276
1.14547
-0.178246
-0.302136
-2.33904
-0.071881
-0.93183
0.904563
-0.7596