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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:20:58 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_24729/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'    [20.0801,344.546]
                        LepBEn                        LepBEn    'F'    [10.0113,223.413]
                       dilmass                       dilmass    'F'    [16.001,539.012]
                        metmag                        metmag    'F'    [0.242859,213.263]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.13734]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,265.271]
                       jet2_Et                       jet2_Et    'F'    [0,126.69]
                       dildphi                       dildphi    'F'    [0.000270219,3.14158]
                          lepR                          lepR    'F'    [0.3457,4.18182]
                        metsig                        metsig    'F'    [0.0148475,11.2121]


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

#input normalization
23.8839 66.4103
13.1677 26.178
14.4368 51.9987
17.1187 22.405
25.0747 77.2918
0.792191 0.65002
0.507155 0.192244
17.434 5.76151
5.34394 0.90773
0.837107 2.58655
0.775217 2.7688
1.40532 2.35289
#output normalization
1 0
#neurons weights
0.225279
0.200836
-0.349542
0.125837
0.162645
0.38242
0.348972
-0.486123
0.0153334
-0.242045
-0.319221
0.370523
-0.424032
-0.128449
0.112618
-1.15445
-1.50914
0.852761
1.92779
0.0510128
-0.973333
1.34959
-0.895241
-5.12389
2.4219
-0.344222
0.207873
0.574186
0.357596
1.25702
-0.531982
-0.153593
0.337209
0.0139064
0.29313
0.004105
0.167509
0.0245061
#synapses weights
-0.185002
-0.321686
1.47063
-1.35946
1.3519
0.467566
-0.237476
-0.167668
0.223969
-0.736658
-1.00121
0.365026
0.26587
0.0135011
0.773547
-0.902666
1.47178
2.51533
-0.129206
-0.235668
0.0690839
-1.37605
2.62082
2.04469
-0.290032
-0.266062
0.16106
-0.192249
-0.42779
0.251603
1.05275
-0.905163
0.841169
-0.490777
0.448909
0.270576
-0.124091
-0.0213847
0.845436
0.758418
-0.375852
-0.557948
-0.661234
-0.285036
1.58139
0.443435
-0.26816
-1.5008
0.459673
0.0727101
0.300995
1.19095
-0.959661
1.1931
-0.114126
0.294426
-0.0712579
-0.705706
0.198758
-2.38369
-0.25605
-0.744502
1.24895
2.85807
-1.52414
-0.0861029
-0.345105
1.74715
0.58403
1.76926
2.9492
-0.814441
0.0426229
-0.15388
0.858768
1.21722
-0.431877
-0.285422
-0.184292
-0.589147
-0.102992
-0.442879
-0.856044
-0.531284
0.660435
-0.727959
0.54975
1.21793
-0.801379
-2.50697
1.91285
0.0620172
-0.731287
0.752064
1.32577
-1.39715
-1.03085
0.0662336
-0.484196
1.95672
0.099334
0.329771
1.20874
0.0838693
-0.19567
0.278141
0.206691
1.25137
-1.28125
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-0.14051
-0.717592
-0.866585
1.98791
1.1361
0.557032
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0.105908
0.864124
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0.584031
-0.206303
-0.22164
-2.26521
-2.01415
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2.10191
-2.32703
2.0515
0.320809
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0.0316544
0.0469069
1.31777
0.537552
-0.47783
1.33761
0.119821
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0.106686
-0.250451
0.498735
-2.71774
0.0445711
-0.573242
0.720771
-0.460992
-1.11087
1.31963
-0.169713
1.20181
0.152825
-0.993717
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0.64582
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0.371737
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0.171651
0.0829323
0.195797
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0.210485
0.848691
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0.121579
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0.130722
0.165439
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0.707982
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0.263418
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0.0463663
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1.43438
0.487753
0.633499
1.74382
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0.822981
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0.0863226
2.56862
3.57689
1.36469
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2.14456
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-4.19661
2.8807
0.0466578
0.166816
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0.258603
0.0748384
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0.253236
0.357401
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0.260619
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0.113325
0.269058
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0.0609967
0.433722
0.0197027
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0.208375
0.318234
0.438714
0.166598
0.406612
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0.0506053
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0.486304
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0.28747
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0.488643
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0.185991
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0.392408
0.0153845
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0.299928
0.416994
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0.529898
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0.492087
0.0368918
0.11113
0.059679
0.248493
0.291647
0.0110709
0.514691
0.463657
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0.0413611
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-0.285632
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0.230709
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0.0719616
0.320062
-0.426052
-0.753615
-0.885214
-0.169845
-0.0621111
-0.431985
0.080438
0.949662
1.15049
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0.019659
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0.293314
-0.313267
-0.334621
-0.536358