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

Method : TMlpANN
Creator: cafuser3
Date   : Thu Feb  1 03:40:59 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_17323/work/macros3
Training events: 52228


#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'    [20.0359,450.947]
                        LepBEn                        LepBEn    'F'    [10.029,469.956]
                       dilmass                       dilmass    'F'    [16.0031,658.809]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [33.7775,774.197]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.24233e-05,3.13819]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,67.8017]
                       jet2_Et                       jet2_Et    'F'    [0,40.0477]
                       dildphi                       dildphi    'F'    [8.83556e-05,3.14156]
                          lepR                          lepR    'F'    [0.316889,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


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

#input normalization
27.1098 44.2189
18.2005 33.0246
36.4056 44.5646
14.4827 46.8374
29.713 111.325
0.70811 2.08682
0.390736 0.137915
9.54649 3.30229
2.66702 0.339005
0.89157 1.11461
0.784428 1.46146
1.23145 4.07653
#output normalization
1 0
#neurons weights
0.489673
-0.370578
-0.412849
0.38982
-0.354285
0.269373
0.476532
0.0860204
0.438291
-0.223824
-0.195427
0.0271868
-0.947735
0.576646
1.21048
2.93457
0.199539
-0.214836
-0.226
0.903557
-0.849774
-1.34793
0.943081
0.711876
2.0388
-0.52937
-0.0638191
-0.446458
0.031356
-0.0744501
-0.460786
-0.0577211
-1.1506
-0.092829
0.282986
0.346196
-0.209786
-1.8275
#synapses weights
0.246789
0.288563
1.65437
-0.629416
0.754203
0.491634
0.211315
-0.247703
-0.0780778
-0.0298067
0.00878799
-0.675462
-0.0469565
-0.14001
-0.127295
-0.0803478
0.492656
-2.11563
0.264814
0.921742
-0.39005
-0.2545
0.723864
0.150427
-0.529359
-0.635377
-1.8494
-0.460363
-2.23173
-0.0276858
-0.121538
0.254687
0.102566
0.136619
-0.0333009
0.148144
-0.371804
-0.173776
-3.00927
-0.526919
-3.69829
0.450648
-0.056121
0.469277
0.202378
2.17881
-0.693591
-0.460034
-0.434641
-0.601247
1.12492
0.858083
-0.0536067
0.570371
0.844356
0.625335
-0.238857
2.18761
0.828895
0.192053
0.19174
0.406921
-1.60897
-0.405599
-1.35877
0.906374
0.223094
0.674941
0.022228
-0.520001
-0.758966
-0.242335
0.111297
0.0760987
-0.770704
-0.477383
0.107943
0.561464
-0.108717
0.421163
0.103783
-0.868591
0.742803
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-0.239247
0.0802778
-0.568996
-0.169675
0.456652
0.0472506
0.226197
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-0.302788
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0.382921
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0.0502952
0.248871
0.386454
-1.0095
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0.300291
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0.448301
2.65379
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1.13817
-0.339558
0.50963
0.149682
0.597759
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-0.955322
-1.26116
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0.508428
0.324052
0.010622
0.137595
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0.192228
0.639534
0.66071
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0.740806
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0.149233
0.427112
0.63727
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0.195613
0.281835
-2.21262
-1.3285
-2.35693
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0.586831
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1.36582
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1.40727
1.80094
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1.22853
0.24947
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0.825265
0.686674
1.28266
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0.624302
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0.327938
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-1.04411
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1.09573
1.24446
0.164972
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0.136084
0.0760726
0.816647
0.681226
0.678695
0.278898
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0.446066
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1.20188
1.81253
0.62199
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0.000826198
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0.19866
0.551169
0.744736
1.17559
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0.755904
0.444878
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0.887159
0.57023
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-1.15187
0.227422
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0.509763
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0.422405
0.291789
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0.485865
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0.538942
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0.579853
-1.08093
0.239149
0.831953
1.45746
-1.44215
0.498084
1.49165
0.943809
-0.450545
-1.67699
-0.16914
0.639897
0.991533
0.585548
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-0.589264
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0.519785
-0.623177
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0.242087
0.447021
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0.104794
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0.445868
0.00627712
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0.385908
-0.355735
-0.52734
-0.35495
1.45959
0.663768
-0.657528
1.73186
0.109644
-0.821999
-0.29015
-0.346139
0.454656
0.430164
0.687573
0.409345
-0.152206
0.262664
-0.418415
-1.06125
-0.221254
0.00160165
-0.6136
0.495225
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-0.629428
0.444676
-0.0705125
-0.367006
0.622345
0.968134
1.16645
1.21086
0.0246818
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1.53349
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-0.150485
-1.22196
0.715361