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

Method : TMlpANN
Creator: cafuser6
Date   : Fri Feb  2 06:44:13 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_6729/work/macros3
Training events: 17290


#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'    [20.2106,407.751]
                        LepBEn                        LepBEn    'F'    [10.0268,255.332]
                       dilmass                       dilmass    'F'    [16.0022,581.211]
                        metmag                        metmag    'F'    [0.395739,249.36]
                         addEt                         addEt    'F'    [36.3255,722.412]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000531536,3.12893]
                    ntightjets                    ntightjets    'F'    [0,2]
                       jet1_Et                       jet1_Et    'F'    [0,77.7643]
                       jet2_Et                       jet2_Et    'F'    [0,38.6461]
                       dildphi                       dildphi    'F'    [0.00150033,3.14158]
                          lepR                          lepR    'F'    [0.402557,3.57078]
                        metsig                        metsig    'F'    [0.0322142,13.8328]


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

#input normalization
20.9176 40.3629
13.5056 29.3187
30.2439 52.9402
14.4498 34.9485
34.289 97.4217
0.595087 1.83464
0.394814 0.140516
9.64823 3.36438
2.71045 0.353402
0.607738 1.84447
0.55207 2.00458
1.17242 3.76908
#output normalization
1 0
#neurons weights
-0.458256
0.258173
0.0259578
-0.272436
0.493609
0.319157
-0.114192
-0.383432
0.152976
0.163035
-0.254473
-0.447717
0.107068
2.30914
0.0463027
-0.0798213
0.4993
0.158766
-3.13925
-0.285069
0.405989
-1.35394
0.96568
-1.16476
-4.48303
0.842436
0.376781
0.525386
-0.105706
-0.422402
-0.376918
0.648182
0.200134
0.350215
-0.568999
-0.521668
-0.183206
0.0964474
#synapses weights
2.10673
0.266172
0.60366
0.537723
0.627671
-0.920147
-0.535462
0.401979
-0.220611
1.26053
1.07199
0.704683
0.538868
-0.718674
-1.87286
-0.344742
0.347632
-0.100971
0.278941
-0.328899
-0.392948
-0.90649
0.0428547
1.22797
0.192051
-0.28798
-0.132218
0.427366
0.971225
-0.397887
-0.206319
-0.126579
0.231457
-0.981186
-0.811
-0.447866
-0.435216
-0.026927
-1.1971
-1.13583
0.146761
0.350254
-0.34712
0.700973
-0.160918
-0.270079
0.814463
-0.176722
-0.100108
-0.595101
-0.553586
-1.78583
-1.12867
0.364622
0.0456876
0.154771
0.100212
-1.04813
0.68811
1.32225
-0.0166916
-0.786792
-0.554991
0.32602
-0.781098
-0.523529
-0.567655
0.165567
-0.237286
0.281458
0.937672
0.490315
0.0750039
-0.379636
2.0419
1.77371
2.54869
-0.634836
-0.31105
-0.523488
-0.0518328
-1.22644
0.027913
-0.929913
0.116736
0.963539
-0.0130067
0.364824
1.21307
-0.30381
-0.212143
-0.411312
-0.254897
-0.213962
0.60508
-0.352466
0.158466
0.387824
0.308816
0.153852
0.641449
-0.843677
1.47317
0.680918
0.320966
-1.80379
-0.357718
-0.990752
-0.444795
1.13199
0.949696
1.06915
1.55645
0.100224
-0.17961
-0.0284123
-0.237779
-0.159281
0.962741
0.156842
-0.504361
1.21526
1.36152
-0.120105
-2.95625
0.698534
-0.07429
0.481267
-0.163498
-0.310644
-0.146067
-0.103812
0.0541949
-0.550555
0.888022
1.27699
-0.158214
-0.355248
-0.229842
0.111208
-0.211166
0.220432
-0.270184
-1.09707
0.501001
0.27393
2.12221
-0.692083
3.26945
0.360472
0.144074
-0.139188
-0.0446238
0.166851
-0.51842
1.77122
-0.906266
-1.31522
-0.914764
-1.40325
-1.41465
-0.716356
2.87532
0.0779035
-0.675786
0.958587
1.82459
1.10063
3.08563
-0.206909
0.258241
0.393349
0.354301
-0.0869287
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0.480193
0.25116
0.250162
-0.308088
0.354075
0.178374
0.00701752
-0.786369
-0.0395213
0.369174
-0.40842
1.04272
0.318811
0.693277
1.0428
-0.0346966
-0.445436
0.534399
0.0151251
0.440067
0.131231
-0.395718
-0.883585
-0.497638
0.0404798
1.30373
0.18162
0.634789
0.28487
0.339846
0.285313
1.2077
0.140527
0.148154
-0.460187
0.153326
-0.178286
0.487872
0.315
0.328331
0.0330376
-0.240516
0.421422
-0.319379
0.0658849
0.257679
-0.235857
-0.124415
0.346649
-0.18114
-0.177652
-0.76431
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0.284216
-0.587205
-0.534478
0.429808
-0.356843
0.916093
0.721617
0.534864
0.41549
0.330631
-0.0788316
0.243656
-0.28652
0.0692988
1.10846
0.219689
-0.796885
1.27126
0.871041
-0.297829
-0.390738
-0.715251
-0.0042431
0.403853
0.788716
0.239368
-0.345002
0.342399
0.49959
0.761416
0.484442
0.532012
0.459135
0.132473
0.676891
0.994601
0.198747
-1.68944
0.0475449
-0.257942
-0.532336
-0.185025
-0.938879
-1.40729
-0.9699
0.341317
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0.293161
-0.708663
-0.67861
-0.648659
0.00110181
0.221006
-0.476199
-0.238542
0.396696
0.039943
-0.398353
-0.104649
-0.209928
0.137122
-0.858581
-0.497519
0.0351536
-0.0961098
-0.299885
0.281355
-0.324366
-0.902685
0.799872
-0.0393246
-0.886785
-0.959499
1.78727
0.800716
-0.187303
2.02833
-0.407797
-0.369253
0.608749
-2.29832
-0.0784261
1.10853
-0.34847
0.303216
-0.655474
0.386887
-0.685493
0.347781
-1.06116
0.0702014
1.81252