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

Method : TMlpANN
Creator: cafuser3
Date   : Thu Feb  1 03:12:58 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_20020/work/macros3
Training events: 25938


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.029,326.743]
                       dilmass                       dilmass    'F'    [16.048,425.661]
                        metmag                        metmag    'F'    [0.0332514,288.323]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.1299]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,374.025]
                       jet2_Et                       jet2_Et    'F'    [0,166.202]
                       dildphi                       dildphi    'F'    [0.000103237,3.14159]
                          lepR                          lepR    'F'    [0.40601,4.25751]
                        metsig                        metsig    'F'    [0.0029975,13.0574]


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

#input normalization
57.1833 121.206
17.8805 53.2247
21.0256 89.0452
24.7206 21.4549
29.0415 116.26
0.594415 0.979929
0.586468 0.723379
25.337 30.7697
6.24352 1.20776
0.662233 2.19568
0.619885 2.41594
1.94919 1.62743
#output normalization
1 0
#neurons weights
-0.239656
0.006615
0.312136
0.0254443
-0.45657
0.112619
0.171034
-0.419105
0.0474304
0.258111
-0.199804
-0.43797
-2.2511
-0.00933522
1.945
0.799815
-0.651443
-1.47126
-1.99888
-0.66388
0.479691
0.883358
0.756788
1.0248
0.0883439
-0.448691
-0.148967
-0.362375
-0.319964
0.228793
0.365687
-0.118014
-0.0734224
-0.122365
0.0423513
0.421454
-0.03585
0.32783
#synapses weights
-0.090095
0.209711
0.577895
-0.725709
-1.30863
1.12096
0.00225604
-0.25804
-0.255915
0.606588
-0.365106
-2.14145
0.549984
0.381034
-1.1977
0.114748
-0.565825
-0.0881881
0.296023
0.0646592
-0.35023
0.199408
-0.0459437
0.428987
-1.06596
-0.568309
-0.121277
0.183239
-0.7375
-0.373227
0.0385711
0.492585
-0.463726
-0.257437
0.040846
0.461381
0.30662
-0.144181
2.1066
-0.57098
0.742912
-1.40435
0.266712
0.567587
-0.251983
-1.0894
-1.16628
-0.115465
0.211735
0.0949173
0.357767
-0.722551
-0.794381
-1.27543
-0.278768
0.284862
-0.0188983
0.183919
0.0494878
-1.32229
0.695947
-0.0272009
-0.0350354
0.88187
0.52068
-1.58887
0.0708155
-0.0154292
-0.283761
0.197892
0.705999
0.0833339
0.365952
0.19289
5.43809
2.18309
1.61476
-0.22348
0.203184
-0.193104
-0.732484
-0.408665
1.84517
3.52626
0.582531
0.129707
0.298981
1.1388
0.614983
-0.773976
-0.171351
-0.170421
-0.48061
0.312022
0.333984
0.319146
0.669559
1.04417
-1.16674
0.221134
0.512569
0.809497
-0.371982
0.0497759
0.116866
0.0948325
-0.88727
1.11006
-0.464991
-0.312743
0.464991
2.6331
-0.332924
-0.28811
-0.140733
-0.522804
-0.206482
0.263478
0.326268
4.42043
-0.682902
-0.388595
-0.876821
2.40309
2.0294
0.65919
0.401799
-0.229007
0.0771999
-1.00631
-0.561582
1.843
0.0280611
0.334896
5.26838
-0.830141
0.9722
0.728257
0.402971
-0.0529344
-0.14885
-0.438483
1.04768
-2.12483
-0.260594
0.0637046
0.52869
-0.0990221
1.03751
1.08456
-0.200785
0.254483
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-1.46985
-1.13101
0.579984
-0.510949
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0.381315
0.377729
0.491079
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0.457989
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0.298974
0.139125
0.062499
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0.569034
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0.0290427
0.084841
1.70768
-0.309986
0.348219
-0.85067
0.125529
-0.34636
0.313437
-0.10534
0.0447673
0.890409
0.194065
0.103415
1.51974
0.288965
-0.319389
0.216675
-0.131995
0.286538
0.0978866
0.102271
0.191636
0.261549
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0.0204747
0.511832
0.804488
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0.0875901
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0.160687
0.378376
0.520161
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0.232245
0.792083
0.123594
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0.0934317
0.0383957
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0.0161909
0.507125
0.785463
-0.00097738
0.239385
1.07248
-0.0792318
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0.0983163
-0.0183507
0.294901
0.308792
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0.238066
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0.176218
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-0.931699
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0.608246
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-2.70291
-0.903718
1.5437
1.59577
-2.46842
-1.7915
3.58283
-0.982906
2.40786
2.01096
0.504103
-2.70288
-0.674393
-0.383373
0.0793212
0.290759
0.197735
-0.00117717
-0.00351701
0.572024
0.385424
0.209677
0.664507
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0.137796
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0.245952
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0.0711251
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0.442646
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-0.484602
-0.109933
0.0757477
0.808752
-1.14737
-0.0207969
-0.277909
-1.39795
0.252438
0.6339
0.515414
0.116033
0.106677
0.0481454
-0.576062
0.0711638
-0.0849856
0.27406
-0.406494
-0.187299
-0.89386
0.0551933
0.0333891
-0.055439
-0.173528
-0.555987
-0.267684
-0.135542
-0.0587221
0.11141
-0.00209363
1.38829
0.137567
0.0355244
0.111669
-0.0930348