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

Method : TMlpANN
Creator: cafuser5
Date   : Thu Feb  1 03:25:26 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_12244/work/macros3
Training events: 39410


#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'    [20.029,560.525]
                        LepBEn                        LepBEn    'F'    [10.0798,365.259]
                       dilmass                       dilmass    'F'    [16.0004,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [37.5475,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000189206,3.13746]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,83.8768]
                       jet2_Et                       jet2_Et    'F'    [0,40.0269]
                       dildphi                       dildphi    'F'    [8.74013e-05,3.14158]
                          lepR                          lepR    'F'    [0.317601,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.4364]


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

#input normalization
48.8769 104.626
19.6802 39.1292
40.4852 90.6189
20.2566 35.1239
31.8589 110.972
0.580625 1.81045
0.398922 0.142209
9.6422 3.38058
2.76691 0.36796
0.791755 2.07491
0.8678 2.5604
1.69179 3.22347
#output normalization
1 0
#neurons weights
-0.125115
-0.108791
-0.130836
-0.337344
0.429805
-0.389282
-0.291362
0.271334
-0.0359744
0.0271996
0.0601338
0.323701
-0.41207
-0.688357
-4.22846
0.842002
0.403895
-0.0472977
0.24171
-0.33718
0.869067
1.20352
-0.131389
-0.0449963
-0.0387969
-0.0933641
0.387328
-0.483259
-0.677982
-0.173029
0.532234
0.390269
0.303014
-0.133922
-0.478661
0.831437
-0.578386
0.434574
#synapses weights
-0.214615
-0.19448
-1.61203
-1.2047
-0.469775
-1.00546
0.0579396
0.514856
0.112857
-0.320155
-1.63512
-0.236069
-0.656294
0.273144
3.02811
0.138316
0.483651
0.16514
0.384951
-0.285733
-0.186542
-0.672155
1.02622
-0.384868
0.470689
-0.201461
2.08478
0.27371
2.91353
-0.0449012
0.212728
-0.468629
-0.0672555
-0.958785
1.46413
0.854942
-0.465961
0.0364348
0.164926
0.906958
2.10818
-0.755111
-0.307595
-0.262139
-0.0259724
-0.93347
0.976124
0.657665
0.697525
-0.322425
0.596494
0.139791
0.477752
0.103326
-0.229218
-0.0584428
-0.0592941
-0.384585
1.31256
-0.442301
-0.224637
0.51327
0.440796
-0.291484
0.170228
-0.799742
0.91419
0.905042
0.408678
-1.02679
-0.882694
-1.14008
0.0623194
0.366532
0.542121
0.0700507
0.222153
0.49332
-0.166322
0.579459
0.190866
0.0732532
0.0530033
-0.316997
-0.956907
3.17667
0.92955
-0.0289
0.618184
-0.0901588
0.0751601
0.101243
0.15845
-0.850696
0.0459302
0.392303
0.656486
-0.990217
-0.626296
-0.114324
1.21927
-1.31465
-0.640322
0.271257
-1.38095
0.556587
-0.978791
-0.0347883
0.0084316
-0.000104168
1.05333
-0.231968
0.260837
-0.667083
-0.575893
-0.216772
0.29354
0.610857
1.00798
1.08609
-0.716998
0.0759811
-0.938228
-2.02008
0.374108
-0.328005
0.122179
0.00620243
0.0230379
-0.0441693
0.482777
2.82578
-0.967117
0.310814
-0.777419
1.84418
-0.98435
-0.926189
-0.214342
-0.239402
0.0621716
0.274871
0.634801
0.999036
1.40616
-0.665243
-0.187521
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0.818775
-0.946682
0.441704
0.451812
-1.23277
0.285364
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0.63186
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0.165401
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0.399564
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0.312904
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0.170114
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0.560031
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0.241707
0.311763
0.509525
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0.381166
0.359214
0.362363
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0.22477
0.435856
0.0406705
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0.0743673
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-1.4514
-1.13522
0.378431
0.448114
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1.29125
-1.09872
0.5928
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-1.28047
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0.491632
0.39369
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0.651907
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0.136087
0.992922
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0.328763
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-0.278233
0.152313
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0.987159
0.628463
-0.0918444
0.303342
0.792334
1.02821
-0.266165
-0.46059
0.340221
-0.492182
0.545927
-0.349479
-0.631223
1.20932
0.623862
0.690011
0.599499
0.419412
1.20676
0.481244
-0.54748
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0.0586152
0.114209
-0.440534
0.29871
0.416921
-0.116818
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0.421835
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0.00939403
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0.279638
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0.0958267
0.0914255
0.218912
0.339723
0.115966
0.426254
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0.451639
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0.214727
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-0.269792
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-0.00151257
0.765382
2.04755
2.29843
-0.445608
0.147659
-1.42713
0.228501
-0.698517
-0.225813
1.41428
-1.97245
0.997259
0.588861
0.0501419
-0.337373
-0.330945
-0.512885
-0.36823
-0.105333
0.151292
0.409251
-0.129635
0.0616818
-0.46972
-0.202652
-0.570923
-0.489706
-0.0235036
0.299633
1.59531
-0.357254
0.712604
1.25658
-0.138752
-0.578147
0.31601
-1.86007
-0.494298