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

Method : TMlpANN
Creator: cafuser5
Date   : Sun Feb  4 17:54:48 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_15315/work/macros3
Training events: 12420


#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'    [20.0374,350.128]
                        LepBEn                        LepBEn    'F'    [10.0117,326.743]
                       dilmass                       dilmass    'F'    [16.01,425.661]
                        metmag                        metmag    'F'    [0.122136,266.18]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.12753]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,299.482]
                       jet2_Et                       jet2_Et    'F'    [0,119.083]
                       dildphi                       dildphi    'F'    [0.000722855,3.14159]
                          lepR                          lepR    'F'    [0.33646,4.25751]
                        metsig                        metsig    'F'    [0.00832123,13.6894]


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

#input normalization
22.0234 67.1783
17.6099 36.1106
25.3497 75.1981
16.5116 12.5747
15.4908 81.7037
0.759069 0.674575
0.503408 0.185749
16.3291 5.32731
5.23798 0.888959
0.84279 2.64364
0.81852 2.89896
1.57147 1.16444
#output normalization
1 0
#neurons weights
-0.0582822
0.154571
-0.417764
-0.367203
0.400715
0.157206
-0.0972925
-0.417812
0.352056
-0.468062
0.382593
0.0376691
0.166093
-0.834644
1.39875
-0.526992
-1.0398
0.301382
0.336587
-0.0212803
-0.257076
0.269249
0.94364
-0.314028
0.19003
0.453767
0.039011
0.316639
0.862288
0.02243
-0.340239
0.390682
-1.49064
0.143068
-0.104777
-0.768442
-0.19459
0.31583
#synapses weights
-0.187995
-0.678371
-1.07624
0.639821
0.0677841
0.529191
0.54507
0.435763
0.288084
0.18513
-0.608853
0.692516
0.0361016
0.281165
1.57926
0.088717
-1.13024
1.07409
0.241484
-0.138238
-0.305476
1.22403
-0.431981
-4.35892
-0.978429
1.13955
-3.20109
-0.00244025
-1.78949
3.44704
0.0510678
1.24799
-0.123973
-0.463494
-1.83747
0.67073
0.249087
0.634495
-1.145
0.732672
0.16018
-0.580666
0.408134
0.444641
0.456402
-1.38133
-0.522623
1.59281
-0.340279
-0.0691751
4.78911
0.0193151
0.525031
-0.335852
0.288816
-0.0519403
-0.109163
-1.47391
1.81167
-2.48754
-0.0401101
-0.0981166
-0.627421
0.0395619
0.0235569
1.38003
0.381064
0.000142715
0.433267
-0.69284
-0.457825
0.958961
0.327365
0.0144493
0.0214432
0.326062
0.138477
-0.19016
-0.201931
-0.129339
0.340941
0.0606198
0.109134
0.0296149
0.176819
0.953819
1.13739
-2.91553
-0.968076
0.448877
0.877642
-0.964536
-0.606307
0.580464
0.669637
-0.372899
-0.0846292
-1.59512
-1.7923
1.6126
1.1318
2.09969
-0.704897
-1.01414
0.45124
-1.37999
-0.928967
3.13183
0.205135
0.438603
0.314719
0.0865267
0.224277
0.80106
0.479124
-0.0654783
0.304485
-0.432637
0.53494
0.874954
-0.324991
-0.363789
-0.199476
0.335576
0.584254
0.242115
0.62643
0.0648366
-0.361176
-0.218817
-0.156714
1.286
-0.211589
0.227612
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0.677613
0.724434
0.362442
-0.190413
0.621454
-0.172302
-1.08143
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0.407323
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-0.385414
-1.27549
0.278652
-0.627075
0.606256
0.608359
0.115706
0.332876
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0.24121
0.0411572
1.26574
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0.269569
1.40487
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0.0171489
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0.106089
0.470555
0.153564
0.033625
0.425397
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0.388965
0.281935
0.712032
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0.761013
1.35852
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0.529401
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0.19957
0.459935
0.0540616
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0.363147
0.0886281
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0.603764
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0.533331
0.0364686
0.0189082
0.167834
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0.368837
0.0852274
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0.133125
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0.359354
0.599088
1.07766
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0.249145
1.04726
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0.286164
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0.14658
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0.45245
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-3.18275
1.82511
0.44658
-3.46643
0.534736
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1.27579
1.64528
0.823468
0.457868
-0.41961
-0.648489
0.00906801
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0.0206424
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0.273292
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0.194882
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0.277732
0.0892772
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0.696605
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0.0830004
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0.381801
0.134928
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0.0133043
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-0.0688396
-0.11824
-0.771017
0.021447
-0.155186
0.45922
0.421494
0.251669
0.303055
0.0822107
-0.103251
0.0183375
-0.345534
0.142116
0.126039
0.469987
-0.161123
0.130104
-0.0438966
0.718906
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0.456788
-0.983262
-0.181846
-1.37094
-0.187337
1.5152
0.0189717
-0.815325
0.344781
0.1159