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

Method : TMlpANN
Creator: cafuser2
Date   : Thu Feb  1 03:49:05 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: 17966


#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'    [20.1862,344.546]
                        LepBEn                        LepBEn    'F'    [10.0745,223.413]
                       dilmass                       dilmass    'F'    [16.0174,539.012]
                        metmag                        metmag    'F'    [0.242859,213.263]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [2.03754e-05,3.13752]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,278.39]
                       jet2_Et                       jet2_Et    'F'    [0,116.217]
                       dildphi                       dildphi    'F'    [0.000255563,3.14158]
                          lepR                          lepR    'F'    [0.382599,4.18182]
                        metsig                        metsig    'F'    [0.0242314,11.5475]


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

#input normalization
23.0196 68.6848
15.4437 28.4524
15.5657 54.4184
22.6934 25.5707
36.1389 84.1253
0.813374 0.664459
0.546888 0.210824
18.7877 6.36597
5.94759 1.10927
0.86157 2.56772
0.792735 2.7556
1.7105 2.53668
#output normalization
1 0
#neurons weights
-0.155574
0.277835
0.150652
-0.0483233
0.465193
-0.240059
0.498894
-0.460654
0.0309558
0.0245578
-0.382207
-0.126683
0.34353
-0.218454
0.245451
0.298344
0.193097
-0.395106
1.61269
0.649827
-0.2036
0.642435
-0.380748
-0.67736
0.0760438
-0.0633774
0.423176
0.0819099
-0.718263
0.440571
-0.000366343
0.305701
-0.387689
0.0726543
0.227572
0.427564
-0.707138
0.194329
#synapses weights
-0.0364005
-0.591098
0.517868
-0.792006
-1.11423
-0.705394
0.268651
-0.248188
-0.309801
0.647133
1.31364
-1.75328
-0.465018
-0.297763
-0.0308402
-0.29412
0.225268
1.73761
0.423255
-0.254506
1.0632
-0.85297
-1.10966
0.85397
-0.579403
-0.0377846
-0.661635
-2.08234
0.483089
-0.490616
0.105884
0.210713
-0.116982
0.854154
-0.0796476
-0.475522
0.499397
0.287875
-0.734841
0.0718756
-2.63388
0.758776
-0.875273
1.13096
0.677176
0.409154
-0.12313
-1.8531
-0.0030185
0.737676
0.332027
-0.404496
2.08495
2.96291
-0.204292
-1.59378
-0.426317
-2.05505
-1.59691
1.5557
0.168407
0.268075
0.30131
-0.500321
-1.15887
-0.783454
0.795568
-0.32486
-0.139195
0.539644
0.597861
-1.02893
0.098295
0.118708
-0.424993
-1.12214
-0.170662
-0.345703
0.142971
0.208699
0.0783093
0.176895
-0.27851
1.87146
-0.266867
0.283556
-1.18766
-0.669126
-1.99728
-1.09409
0.0257685
0.609763
-0.341425
0.956367
1.9269
-2.33477
0.159561
-0.194563
-0.397281
0.99281
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-1.42938
0.249367
-0.679234
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0.889789
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0.186062
0.0274442
0.622327
-0.420286
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-0.549601
0.187133
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0.3029
0.830403
-0.550889
0.64464
0.149879
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0.416226
0.432668
-1.87725
0.0799156
-0.721156
0.0945073
1.39075
0.967554
-1.55659
0.0855053
-0.282921
1.03331
0.289082
0.590658
1.26774
-0.670774
0.369611
0.402192
0.993596
1.59784
0.268891
-0.266718
-0.447403
0.774674
0.990523
0.534907
1.81241
0.36263
0.44355
0.0137015
0.390277
0.77367
0.817138
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1.26541
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2.08825
0.426008
0.126193
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0.0301972
0.253127
0.459698
0.0704862
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0.464775
0.271623
0.519498
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0.75471
0.911576
1.05005
-2.10036
2.11337
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3.37409
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1.83734
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0.132705
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0.724875
1.00661
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0.835917
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0.722997
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0.93274
1.15566
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0.142929
0.324497
0.542366
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0.215183
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0.142915
0.263934
0.521775
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0.447144
0.169506
0.191111
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0.153209
0.00777734
0.396055
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0.0502329
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0.145882
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0.129087
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0.660432
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0.392184
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0.121562
0.269736
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0.144113
0.562639
0.313945
0.667966
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0.379457
-0.416854
-0.499317
0.297257
-0.729055
0.243692
-0.439665
0.820499
0.0052038
0.126175
-0.0488537
0.29083
0.539237
-0.365472
-1.51516
-0.141005
-0.176183
2.56203
0.0084774
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0.317571
-0.0281099
0.555187
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