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

Method : TMlpANN
Creator: cafuser2
Date   : Sat Jan 27 14:39:57 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_12760/work/macros3
Training events: 154940


#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'    [20.0417,376.185]
                        LepBEn                        LepBEn    'F'    [10.0054,296.424]
                       dilmass                       dilmass    'F'    [16.0001,624.748]
                        metmag                        metmag    'F'    [0.00882513,148.064]
                         addEt                         addEt    'F'    [30.904,598.39]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.14024]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,81.0944]
                       jet2_Et                       jet2_Et    'F'    [0,44.0714]
                       dildphi                       dildphi    'F'    [4.98044e-05,3.14159]
                          lepR                          lepR    'F'    [0.34633,4.35338]
                        metsig                        metsig    'F'    [0.00104551,10.1068]


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

#input normalization
22.2761 79.0755
10.7156 33.0781
21.4187 80.8528
24.1971 19.5174
32.9243 87.1017
0.827694 0.792521
0.403182 0.146957
9.70213 3.46889
2.7912 0.372226
0.777923 2.43798
0.876822 2.92333
2.11385 1.66133
#output normalization
1 0
#neurons weights
0.418313
-0.220799
-0.0601542
-0.068004
-0.00903452
-0.271664
-0.109223
0.322863
0.376683
-0.425424
0.0620406
-0.390865
0.296763
-0.0305245
-0.441497
0.0409683
0.782004
0.847119
-0.352395
-1.67448
-1.33243
-0.67303
-0.936616
0.158127
-0.256316
-0.0474557
0.282396
-0.190655
0.00662672
0.649684
-0.397375
-0.387554
-0.54294
-0.437354
-0.513345
-0.47201
-0.587819
-0.630138
#synapses weights
0.0147703
-0.324216
-0.374725
-1.16041
-1.11501
-0.956477
-0.308006
0.145046
0.276655
1.01029
0.188473
-1.01114
0.342614
0.120485
1.04481
-1.41459
-0.653611
-0.140181
0.357632
-0.388514
-0.299308
0.575707
-0.297847
-0.532492
0.00787447
0.451788
-0.0576516
-0.555334
0.0903882
-0.259619
-0.190112
-0.0341122
-0.199873
-0.0508033
0.412944
0.161476
0.860172
-0.180506
0.0135528
-0.818986
-0.343144
-0.975513
0.188798
-0.122154
0.0841148
-0.238068
0.540036
-5.93213
-0.163525
-0.490289
-0.622381
-0.904445
1.50232
-1.33768
-0.437655
0.281046
0.202668
0.859091
-0.853807
4.76197
0.0905096
0.312
0.595152
-0.586027
0.326077
0.148661
0.2642
0.398378
0.1192
-0.489111
-0.905181
1.03333
-0.509758
-0.217317
-0.720736
0.000147659
-0.281325
2.14564
-0.0221245
-0.599361
-0.0189173
-1.82456
-1.97174
0.923255
0.570242
0.154817
2.4622
-1.22115
0.576348
-0.97952
-0.142898
0.218374
-0.0244512
-0.0797379
0.432539
1.48856
0.461268
0.365473
-0.421417
0.125762
0.934919
-2.27305
-0.490209
0.204041
-0.0691596
-0.131456
0.673568
-1.66804
1.11283
0.45896
5.34135
-0.704351
1.095
0.465039
0.011646
-0.0740144
-0.167574
-0.332838
1.5934
-4.41227
-0.0557233
-0.167366
-0.570957
0.236767
-0.864891
-1.52952
-0.0242338
0.254896
-0.0503108
0.760899
0.500251
-1.01054
-0.208449
-0.968138
-0.765342
1.88526
1.23642
0.271603
0.0505613
0.00093454
0.135432
-0.628713
-0.563899
0.972926
0.690093
0.223943
0.456045
0.286159
0.0602955
-1.22374
0.0483994
-0.215165
-0.296639
0.338676
0.240628
-0.470376
0.273579
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0.119493
1.36431
-0.979365
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0.309166
1.01513
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0.372281
0.180414
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0.0473662
0.20367
0.172182
0.49462
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0.186267
0.312357
-0.215547
0.431291
-0.218032
0.0958388
-0.516592
-0.0285937
0.174253
-0.0257305
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0.322705
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-0.586675
-0.706507
0.00582232
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-0.214251
0.298124
0.324907
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0.000470442
0.0184222
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0.116932
0.0810838
0.193752
1.04378
-0.191204
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0.431004
-0.369609
-0.570133
0.170144
1.04323
-0.207286
0.877997
0.103163
0.51333
-0.190232
-0.448354
0.194726
-0.0467025
0.429554
0.0559295
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0.264123
0.226835
-0.327937
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-0.287559
0.504817
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-0.181104
-0.216549
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0.169154
0.216878
0.0349791
-0.18534
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-0.390501
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-0.00254501
-0.0994057
0.0681638
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-0.0705291
-0.162495
-0.279271
0.306357
0.0511045
0.173218
-0.312913
-0.304878
-0.345666
-0.845277
1.10375
0.252166
-1.86709
3.69141
1.17841
1.05198
2.90611
-2.10703
-3.11298
-1.45954
-1.1353
-0.520418
-0.451678
0.24783
0.369239
0.412799
-0.52309
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0.130428
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-0.543225
0.778538
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-0.140744
-0.317921
-0.00984343
-0.0761849
0.34767
-0.468224
0.205449
-0.0958242
-0.0790763
0.484615
-0.10179
-0.264555
0.355962
0.146545
0.257237
0.621098
0.665999
0.198513
-0.21727
-0.202191
0.100379
-0.452619
-0.0296311
0.0752771
-0.229217
-0.549075
-1.00764
-0.436526
0.558116
0.139002
0.224791
0.0442059
0.188852
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-0.0697413
-0.172364
1.55769
-0.0993834
-0.278746
0.170724