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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 11:39:06 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_507/work/macros3
Training events: 70248


#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'    [20.1302,376.185]
                        LepBEn                        LepBEn    'F'    [10.0268,296.424]
                       dilmass                       dilmass    'F'    [16.0011,486.044]
                        metmag                        metmag    'F'    [0.00882513,98.4557]
                         addEt                         addEt    'F'    [32.73,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13783]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,77.7643]
                       jet2_Et                       jet2_Et    'F'    [0,45.9201]
                       dildphi                       dildphi    'F'    [0.000157602,3.14159]
                          lepR                          lepR    'F'    [0.388255,4.35338]
                        metsig                        metsig    'F'    [0.00104551,8.27303]


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

#input normalization
19.8392 57.8499
13.0516 40.9036
25.1298 77.3297
15.3997 16.2415
14.1318 94.6807
0.586763 1.23058
0.389419 0.136538
9.36806 3.21989
2.65549 0.337121
0.783232 2.57195
0.715476 2.69474
1.52616 1.53089
#output normalization
1 0
#neurons weights
0.114067
0.411616
-0.0309186
-0.199697
0.216892
0.327447
0.0637267
-0.347369
0.213375
-0.329655
-0.304175
-0.486114
-0.278582
-0.0546335
0.138396
1.52491
0.108647
-0.0900588
0.12853
0.536248
-0.801121
-0.723593
-0.611003
-0.993689
-0.0134166
0.172858
-0.199545
-0.369703
-0.412334
-0.716673
0.241072
0.649545
-0.441112
0.098182
0.221899
0.188792
0.342851
0.435358
#synapses weights
-0.366853
-0.527735
-0.575423
0.854113
0.464201
0.623062
0.135614
-0.160358
0.215178
-0.425485
-0.499851
0.193422
-0.0264436
0.332347
0.64303
-0.641046
-0.361086
-0.763731
0.238464
-0.231915
-0.212264
0.236158
0.0793275
-1.16151
0.478123
-0.0280878
-0.019299
-1.02931
-0.246358
-0.0316003
-0.120042
-0.134949
-0.117348
0.566388
0.40609
-0.873657
-0.683974
-0.103526
0.0925937
-1.25487
0.276695
0.686424
-0.00663204
-0.113073
0.155756
-0.569632
-0.120521
1.41132
0.151799
0.00780632
-0.555834
-0.112659
-0.502512
0.232711
0.205823
-0.0636029
0.135601
-0.268902
-0.669676
0.809738
-0.361576
-0.659127
-1.87102
2.23144
0.377054
0.0511277
-0.204487
-0.0596647
0.144148
-0.227627
-0.208732
1.16327
0.148327
0.782469
0.249248
-1.03642
-0.543911
-0.496468
-0.113658
0.466397
0.0476539
0.525374
0.435693
-1.68674
-0.0467985
-0.207127
-0.0028471
-0.534217
0.136816
-0.365109
0.368554
0.120763
-0.155222
-0.220865
-0.38947
1.26626
-0.0500773
-0.00016208
0.754254
0.169675
-0.590739
-0.938421
-0.106995
0.0245588
0.0847714
0.229151
0.025091
-1.8244
0.11083
0.00650488
2.95997
-0.439819
0.329207
0.0454231
0.301002
-0.318166
-0.0515267
-0.996882
0.665796
-1.57101
-0.132398
0.775575
0.144849
-0.443655
-0.22495
0.813607
0.399965
0.590381
-0.0607165
0.1395
-0.0421421
-1.25198
-0.319497
0.790117
0.633041
-0.0110632
-0.781104
0.937887
0.270985
0.00150135
-0.0334732
0.120196
-0.426202
-2.90582
0.28855
0.392824
0.149709
-0.99645
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0.569969
0.370918
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0.366739
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0.267868
0.0293679
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0.177514
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0.558352
0.0553589
0.444022
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0.454645
0.214404
0.316941
0.279279
0.545168
0.267754
-0.394452
0.0799717
0.178657
1.13982
-0.111393
0.330732
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0.0498457
0.218164
0.633636
0.309054
0.55882
0.512343
-0.545358
0.284375
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0.494475
0.549455
0.32937
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0.161771
0.0283779
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0.493772
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0.421411
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0.405773
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0.0466678
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0.336016
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1.72185
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0.357461
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0.17935
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0.245779
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0.424744
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0.141595
0.0220326
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0.297411
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0.270235
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0.272769
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0.186477
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0.547797
0.00661776
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0.157474
0.706892
0.0472109
-0.135861
0.332086
-0.188057
-0.311142
0.00249843
-0.31694
0.283132
0.0356635
-0.126565
0.453381
-0.48826
-0.292657
-0.451487
0.184264
-0.748759
0.0932927
0.0535862
-0.656673
-0.513733
2.45711
0.836606
0.124916
-0.289335
1.25355
-1.72406
-2.8665
-0.786592
-1.82337
0.00457707
0.057866
0.38295
0.133371
0.0673884
1.81456
-0.905837
-1.9473
-0.30242
0.112522
-0.0147712
0.184733
2.66792