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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:22:36 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_11127/work/macros3
Training events: 14160


#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'    [20.3038,403.541]
                        LepBEn                        LepBEn    'F'    [10.0545,255.332]
                       dilmass                       dilmass    'F'    [16.0014,581.211]
                        metmag                        metmag    'F'    [0.583268,249.36]
                         addEt                         addEt    'F'    [39.1068,722.412]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000531536,3.13571]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,88.0566]
                       jet2_Et                       jet2_Et    'F'    [0,38.4613]
                       dildphi                       dildphi    'F'    [0.000116093,3.14152]
                          lepR                          lepR    'F'    [0.403876,3.55785]
                        metsig                        metsig    'F'    [0.0484212,13.8328]


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

#input normalization
19.6481 60.9032
12.9729 32.3572
31.4823 71.5253
16.927 52.8201
34.7564 139.605
0.645179 1.36843
0.515978 0.645853
11.0223 13.0812
2.81611 0.379003
0.670275 1.97465
0.600339 2.08421
1.32425 4.27237
#output normalization
1 0
#neurons weights
-0.149887
0.381084
-0.275733
-0.316704
-0.420856
-0.378538
0.229658
0.237333
0.371213
-0.128328
-0.249591
-0.0559119
-1.66176
0.912189
0.417016
0.718977
0.214235
-0.662644
-0.503719
-0.609315
-0.950306
-0.095978
-0.672812
0.19279
-2.1936
-0.46795
-0.237578
-0.891484
0.587981
0.426309
0.0792931
-0.534911
0.491865
-0.132668
-0.00273984
0.55106
0.19654
0.180605
#synapses weights
1.16491
0.200364
2.51634
0.539131
4.33195
-0.481346
0.418431
-1.12439
-0.26124
-0.765084
0.186889
1.00529
0.985779
-0.29405
-1.47655
-0.455907
-1.32662
-0.587652
-0.510959
0.289064
0.0612385
0.641591
-1.22827
0.714337
0.268545
0.00891436
0.113242
-0.601452
-0.470199
-0.316525
0.293144
-0.0484974
0.158099
0.348613
0.1495
-0.0602745
-0.184798
-0.0789737
-0.583117
0.733748
-0.388869
0.681808
-0.144826
0.342964
0.0576283
1.15955
1.10337
0.103678
1.02639
0.0969096
-0.17832
-0.131528
0.766509
-0.886046
-0.263154
0.496717
0.145251
-0.277086
0.0107328
0.450883
0.305063
-1.77085
-0.93295
-0.240059
0.259307
-1.11192
0.331531
-0.103618
0.285632
0.169705
-0.520089
-0.196983
0.466685
0.208217
-0.131192
-1.21014
0.00247228
-1.07291
0.768612
-0.0531479
0.389515
-1.02705
-0.872379
-0.30465
0.388428
-1.54555
-0.467345
0.351283
0.0365998
0.553856
0.582946
0.555052
0.303912
1.46703
0.907969
0.553232
-1.65036
1.03686
-0.231706
1.57992
-0.0538993
-0.775831
-0.129511
-0.106229
-0.283685
1.11956
0.256198
1.09151
1.35004
0.626805
1.02904
0.410605
1.14269
-0.0575281
-0.611427
-0.176005
-0.0889536
0.975993
0.677581
-0.257292
0.129064
-0.210007
-0.473689
0.166301
-1.30679
-0.689448
-0.185619
0.858142
0.138584
0.0514943
-1.07113
-0.347504
-0.572328
0.165082
-0.737307
-0.884186
0.311499
-0.238514
1.04097
0.695653
-0.26327
-0.86494
-0.784745
-0.443044
0.187551
0.573195
0.750018
-1.95006
-1.12605
-0.326376
0.467976
0.115047
-0.130473
0.512729
-0.350991
2.30907
0.151768
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0.131272
0.70635
0.56554
0.124665
0.133651
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0.0875681
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0.484523
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0.292167
0.174398
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0.404273
0.398609
-0.423706
0.0600566
-0.23466
-0.169788
0.280436
-0.227593
1.08928
-0.0893292
-0.92503
-0.927262
-0.014759
-0.509972
-0.651534
-0.608798
0.244373
-2.02468
-0.288825
0.787374
-0.438383
-1.26532
0.458351
0.389996
1.40473
0.163296
0.100241
0.391342
-0.580402
-0.865585
0.629336
0.271605
-0.669893
0.783725
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0.394286
-0.0200805
0.202167
0.425214
0.370325
0.4085
-0.142146
-0.00283335
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0.225124
0.360997
-0.494969
0.615836
-0.219719
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0.337328
0.466971
0.127313
-0.0712003
-0.431208
0.125159
0.117497
0.345358
-0.634928
0.799211
-1.73472
0.876901
0.183389
-0.751884
-0.0300328
-0.758328
0.456937
-0.107331
0.0927056
-0.859847
-0.637448
0.228945
-1.58479
0.520396
-0.517031
0.0300978
0.191446
0.0903844
0.727068
0.335935
-0.503717
0.585031
0.211656
0.4165
-0.48446
0.44136
-0.779277
0.469368
-0.684847
-0.104363
0.296553
-0.403196
0.702032
-0.422696
0.712957
-0.755754
-0.393413
0.807046
-0.768684
1.46641
0.404529
0.33108
-0.935315
0.816387
0.922296
0.312549
1.51462
1.13937
0.635034
-0.257079
-0.230891
-0.984168
0.327709
0.525233
0.374085
0.745529
-0.330974
-0.252773
0.0767611
0.453164
-0.0707889
0.092444
0.437805
0.299439
0.457134
1.37225
-0.0868126
0.418951
-0.395386
0.713427
0.447851
0.152044
0.033144
-0.63618
0.415526
0.469621
-0.535496
0.534511
-0.390773
-0.0190217
-1.2356
0.6341
-0.646433
-0.265662
1.49721
-0.643017
0.896284
1.57773
-0.350486
-0.678859