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

Method : TMlpANN
Creator: cafuser4
Date   : Fri Feb  2 06:43:54 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_26266/work/macros3
Training events: 10672


#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'    [20.1192,337.795]
                        LepBEn                        LepBEn    'F'    [10.1165,255.332]
                       dilmass                       dilmass    'F'    [16.0022,581.211]
                        metmag                        metmag    'F'    [0.583268,233.933]
                         addEt                         addEt    'F'    [38.2278,593.545]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000387588,3.12893]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,54.9082]
                       jet2_Et                       jet2_Et    'F'    [0,38.4613]
                       dildphi                       dildphi    'F'    [0.00116418,3.14152]
                          lepR                          lepR    'F'    [0.400449,3.55785]
                        metsig                        metsig    'F'    [0.0484212,12.8433]


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

#input normalization
18.5426 45.808
14.6187 24.9466
30.5623 51.3518
13.1603 39.9816
31.2554 105.435
0.58211 1.79528
0.395837 0.140782
9.69019 3.38119
2.75585 0.358778
0.595887 1.81448
0.541623 1.90246
1.14532 3.65272
#output normalization
1 0
#neurons weights
-0.0542791
-0.124936
-0.443834
0.0836083
0.322451
0.44205
-0.0898324
-0.368906
-0.243371
-0.204341
-0.00445842
0.379711
2.9548
-0.721022
-0.281164
-0.0624422
0.480356
-0.883788
-0.131796
-1.52491
0.434844
-0.247747
-1.84678
1.26937
0.754446
-0.326754
-0.537077
0.340064
0.575095
-0.277695
-0.333814
-0.0978214
-0.350096
0.40175
-0.2483
0.977897
-0.441708
-0.94786
#synapses weights
0.255777
-0.266392
-4.04368
-1.37459
-5.13622
0.0574243
-0.86964
1.15391
0.4628
1.1333
0.258914
-0.192118
0.980455
0.143458
0.858836
0.608896
-0.0932793
-0.388498
-0.0400104
-0.016072
0.599634
0.0287633
-0.356836
-0.799887
-0.187123
0.154904
-0.0937579
0.51481
0.58645
-0.0468671
0.35387
0.357227
0.771881
0.937097
0.904717
0.279986
0.411145
0.0144977
-0.284075
-0.552505
0.0621283
0.395763
-0.0240302
0.540161
-0.157592
-0.394852
0.31497
0.558572
-0.186738
-1.31042
0.906067
-1.25434
-0.941072
0.0422246
-0.871613
0.775244
0.466932
-1.26906
-0.762269
-0.266927
0.999238
1.19397
0.556489
-0.921859
-0.681238
0.569509
-0.201206
0.263914
-0.061363
1.13565
0.343479
1.96749
-0.433583
-0.00218479
0.873691
1.07221
-0.100009
-0.339335
-0.104449
0.0515258
-0.229325
-0.104889
0.73513
-0.596606
-0.073511
-0.426734
1.23703
-0.375595
0.514448
0.54988
-0.662205
0.45906
-0.376631
1.01072
1.10125
-0.636991
-0.679152
1.18512
1.74643
1.19763
-0.29155
0.429982
0.380479
-0.531265
-0.110035
1.96687
-1.32435
-0.518882
0.155536
1.32161
1.17258
-0.806087
1.17963
0.196185
-0.354552
-0.212418
-0.0235378
-0.0415
0.281156
0.275021
0.690706
-0.689225
2.6281
0.683898
1.55369
-0.175183
-0.511835
-0.038835
-0.0635766
-1.18544
1.34619
0.291156
-0.579864
0.472991
0.162044
1.22928
-0.277193
-1.08071
0.062011
-0.0634695
0.338322
0.560163
-0.604779
0.215027
0.986964
-0.988321
-1.40833
0.470098
0.302836
-1.41663
-0.486737
-0.565791
0.293515
0.488409
0.316779
0.275085
0.298422
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0.162962
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0.0728881
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0.0203484
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-0.771325
0.0308427
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0.252871
0.256834
0.359316
-0.33339
0.0568227
0.381752
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-0.0119929
0.240896
0.262528
0.0426482
0.627573
0.205584
-1.09273
0.0535109
0.0371674
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0.338672
-0.410374
-0.41848
0.56342
1.37868
0.732085
0.523515
1.15352
-0.277778
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-1.29646
-0.805555
-0.679575
0.439408
0.841241
-0.752346
-0.431559
0.470603
-0.198285
0.321582
-0.894542
-1.32356
-0.108608
-0.999886
-1.36822
-1.48434
-0.489423
3.58319
-1.82812
1.25735
0.710465
-2.20556
-1.19148
-0.388436
-1.64417
-1.9588
-0.294263
-2.36251
-1.07361
1.90637
-0.526527
0.177208
0.18491
0.372934
-0.205615
0.138992
-0.0116133
0.302275
-0.426278
-0.385042
-0.0584262
-0.384251
-0.323626
0.447585
0.571676
-0.34569
0.287829
0.370725
-0.195553
-0.0363611
0.230682
0.102353
0.327478
-0.0797732
0.215497
-0.501666
1.21204
0.183548
-0.310997
0.0565309
0.155869
-0.933737
-1.27074
0.349181
-1.23036
0.880832
-1.15672
-0.660474
-0.959735
-1.12266
0.27865
-0.528426
0.589828
-0.495464
0.269022
-0.470222
0.0918808
0.705388
0.884718
0.970749
0.258733
0.0798203
-0.194351
-0.030191
0.0436709
0.178033
-0.0134666
0.322831
-0.361894
-0.0712796
-0.374952
-0.141794
-0.0899413
-0.353764
0.316251
0.0592415
-0.408545
-0.47172
0.645548
-1.71198
-1.3396
1.73622
-0.0173304
-0.221853
1.61714
0.95714
-0.0851762