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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 03:26:35 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_21813/work/macros3
Training events: 44536


#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'    [20.0336,350.128]
                        LepBEn                        LepBEn    'F'    [10.0722,326.743]
                       dilmass                       dilmass    'F'    [16.0307,457.471]
                        metmag                        metmag    'F'    [0.0332514,231.66]
                         addEt                         addEt    'F'    [31.231,461.293]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.81681e-05,3.14024]
                    ntightjets                    ntightjets    'F'    [0,8]
                       jet1_Et                       jet1_Et    'F'    [0,376.481]
                       jet2_Et                       jet2_Et    'F'    [0,155.401]
                       dildphi                       dildphi    'F'    [4.56351e-05,3.14159]
                          lepR                          lepR    'F'    [0.34633,4.28201]
                        metsig                        metsig    'F'    [0.0029975,14.2918]


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

#input normalization
25.7514 80.1774
26.0896 67.5857
38.3027 105.171
26.2454 17.9243
30.3224 126.384
0.851153 0.683695
0.569753 0.703027
17.3858 16.3627
5.52475 0.988243
0.833217 2.51054
0.730151 2.65953
2.20029 1.48004
#output normalization
1 0
#neurons weights
-0.174
0.385515
0.0103417
0.476353
0.224929
-0.230315
-0.0602904
0.377163
0.282019
0.264777
-0.310659
-0.00204605
0.13214
-0.260105
0.87491
0.328915
-1.15625
0.222954
-0.890744
1.17397
-0.295835
-0.253413
0.699713
0.164985
-1.47878
0.0899479
-0.240882
0.0172927
-0.254167
0.475685
0.135097
-0.230252
-0.201309
-0.475336
-0.135697
-0.0370587
0.682353
0.5245
#synapses weights
-0.50757
-0.0977567
0.0658545
-0.224415
0.338037
0.723379
0.127376
-0.264784
-0.162993
-0.243392
-0.553259
-0.291927
0.154582
-0.0404917
0.445018
-1.17087
-0.520114
-0.388609
-0.122753
0.295373
0.272745
0.111998
0.0705178
-1.17196
0.373928
-0.999307
-0.575588
0.100055
-0.680525
-0.51355
-0.437992
0.218177
0.0227506
0.710621
-0.324774
0.00481585
0.0404036
0.044223
0.968882
-0.807273
0.234286
0.410872
-0.287471
-0.324223
-0.133806
0.469831
0.136675
-1.24257
-0.287681
-0.564613
-0.457162
-0.938925
-0.0730696
-1.37841
-0.403337
0.0851272
-0.697874
0.770749
0.21369
-1.41919
-0.0287882
0.525522
0.332266
-0.743701
-0.126367
0.0343982
0.64984
-0.684602
-0.327476
0.623393
0.0186749
-0.642251
0.18056
-0.502531
0.0873994
-0.00592913
0.236852
-1.27263
-0.157763
-0.117342
0.0540556
0.844943
-0.293257
-1.21263
-0.519294
0.410639
0.13898
0.199771
-0.622186
2.36553
0.294029
0.134028
0.0397225
-0.825865
-0.103152
1.09173
0.0507093
-0.0938676
-0.723014
-0.0683345
0.272722
0.121042
0.393788
0.129385
0.50347
-0.388339
-0.40083
-0.130305
0.0708539
-0.119395
0.00747167
2.30185
1.46216
1.448
0.0807337
-0.228183
-0.150556
-0.496556
-0.906942
3.86751
-0.465461
-0.036349
-1.06484
0.476732
-0.0843886
-0.141114
0.243874
0.21634
0.0625116
-0.422466
-0.835765
0.202659
-0.172305
-0.0697308
-1.78999
0.71688
1.0593
0.121652
-0.0763478
0.0515927
0.0865337
0.441619
-0.977798
7.29571
0.324588
0.155718
-0.392066
-0.374662
0.137431
-1.77636
-0.196471
0.781368
0.290375
0.868534
-0.227363
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0.0133042
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0.105391
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0.562165
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0.389169
0.4063
0.198584
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0.101183
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0.219273
0.121626
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0.149036
0.0228502
0.521951
0.376901
0.705392
-0.00873688
-0.21658
-0.205473
0.368482
-0.369759
0.36511
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0.0420654
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0.312631
0.671853
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0.253571
0.0526275
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0.0140825
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0.101397
-0.366399
0.296245
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0.430554
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-0.197863
-1.24012
-1.00518
0.229038
0.601416
0.0650067
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0.807111
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0.493913
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0.682792
-0.843723
1.11082
-1.22121
0.241006
0.451509
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-0.0989072
0.00348282
0.34788
-0.535882
0.283341
0.402858
-0.00868458
0.311887
-0.391879
0.00385772
0.0231471
-0.314589
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0.629913
0.572314
-1.36816
0.653033
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1.50815
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0.0574491
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0.0528932
-0.018969
0.846659
-0.109679
-0.524205
0.156027
-0.330699
0.3677
-0.319751
0.479661
0.134023
0.36192
-0.0941906
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-0.544148
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0.214613
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0.254017
-0.3614
0.0691052
0.0199406
0.623062
0.167853
-1.44912
0.720731
-1.12792
1.21033
-0.242133
0.581648
-0.786634
1.25801
-0.934876
0.056277
0.0318399
0.652193
0.491271
0.125465
0.161428
0.340735
0.210247
0.231578
0.0605737
0.0969479
0.732549
0.0813771
0.119648
0.0567112
0.087224
-0.1493
0.394806
-0.108549
0.662021
-0.373869
-0.0836821
0.146007
0.527825
1.14931
0.408653
-0.864042
-0.384154
-0.387527
-0.0426447
-0.729189
-0.294475
-1.78416
0.72698
0.248511
1.21256
0.222884
0.556401