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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:10:12 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_29455/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'    [16.0089,539.012]
                        metmag                        metmag    'F'    [0.242859,213.263]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.1352]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,271.095]
                       jet2_Et                       jet2_Et    'F'    [0,123.225]
                       dildphi                       dildphi    'F'    [0.00016098,3.14158]
                          lepR                          lepR    'F'    [0.327018,4.18182]
                        metsig                        metsig    'F'    [0.0242314,11.2121]


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

#input normalization
23.6522 66.732
13.4869 26.871
14.6467 52.3727
18.7194 23.2928
27.9386 79.1164
0.803174 0.654972
0.539467 0.20742
17.8719 6.0636
5.67129 1.05813
0.857263 2.57342
0.796352 2.75594
1.44781 2.37471
#output normalization
1 0
#neurons weights
-0.421144
0.3949
0.200689
0.359861
-0.319226
-0.0894403
0.358754
-0.173373
0.229535
-0.0386287
0.125247
-0.36487
0.139772
-1.50514
0.15621
-0.129254
-0.309621
0.115382
-0.842573
1.43248
0.899463
0.388011
0.0056512
0.639749
0.376074
-0.335248
-0.0780692
0.543887
0.875247
-0.369308
0.0564043
0.141627
0.0826377
0.635827
0.472246
-0.0613526
0.0875252
0.196074
#synapses weights
0.0306731
0.958674
-0.274714
1.31464
0.5503
0.873793
0.123434
0.26903
-0.21884
-0.331373
-0.450109
0.430245
0.0719117
0.489217
-0.0699105
0.37379
0.55228
-0.640042
0.0119401
-0.583353
0.0168463
0.546871
0.217035
-0.661083
0.396869
-0.0511319
-0.673655
0.642522
0.44414
1.5534
-0.544117
-0.77231
-0.671186
-1.82753
-1.0576
0.808453
0.488909
-0.130824
0.287299
0.685796
2.44865
2.07906
-0.376246
-1.34619
0.786616
-1.23133
-1.13161
1.52743
0.533318
-0.268541
0.465764
-0.176354
-0.666873
-2.17983
-0.178031
-0.0474542
-0.398242
1.04709
0.938758
-0.407513
0.11751
0.388468
-0.375998
-0.776324
-0.922656
-2.56999
-0.182495
0.242813
0.349359
0.700937
1.09948
-0.343026
0.270253
0.0139819
0.701364
-1.05939
-1.32744
-1.94925
0.0368614
-0.301876
0.863947
0.871823
0.770121
-1.39506
-0.23097
-0.233436
-0.342876
-0.246516
2.09453
-0.575261
-0.0193484
-0.600231
0.161576
-0.169785
-0.384049
1.13724
1.45578
-0.351082
0.201732
1.09339
-1.57808
-1.57706
-0.153703
-0.407458
0.0645877
0.0770663
-0.0433137
0.221348
-0.0729055
0.18185
0.654486
-0.317049
0.843103
2.09341
0.416701
-0.817852
-0.128479
-0.62189
-0.650435
-0.494006
0.835833
0.0973866
-0.91729
-1.11071
0.412895
-0.0138272
-0.229662
-0.278539
0.291865
-0.789348
-0.619677
0.243665
-0.0727531
0.221132
-0.960855
-0.0689328
-1.21328
-2.79491
-0.408027
0.65981
0.278882
0.946713
-1.1649
-1.56803
0.334693
-0.483898
0.704164
-1.92092
-0.603669
-0.440365
0.0791515
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-0.14945
0.677871
0.393724
-1.28144
-0.229828
-1.1311
0.265962
1.27462
-0.81976
-0.295375
-0.928389
1.14341
-0.869716
0.936161
0.627893
-1.79703
0.0142315
0.0230778
0.656465
0.168899
0.178617
0.0598725
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0.0674857
0.467498
-0.20727
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0.0732455
-0.209467
0.283627
0.443276
-0.267393
-0.135659
0.433081
0.201689
0.393458
0.0922083
-0.231751
0.592316
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-0.25307
0.0450082
0.135155
0.30292
-0.712138
-0.519603
0.53574
0.0150718
0.391366
0.10068
-0.326269
0.468109
-0.168805
-0.108597
0.697242
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0.00563079
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0.0176402
-0.225783
-0.321202
0.300001
-0.310521
-0.315849
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-0.155599
-0.373066
0.41561
-0.00557428
0.125774
0.0136676
-0.518179
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0.613538
-0.2224
-0.588299
0.293985
0.188506
-0.183366
-0.353755
0.271516
-0.45366
-0.563356
-0.3864
0.82227
-0.898367
-0.792494
-0.230235
-1.18187
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0.410869
0.303573
-0.608914
0.188321
0.412532
-0.298988
-0.138936
-0.317805
0.728368
0.799083
-0.171557
0.361174
0.62102
-0.0680852
0.0200588
0.793708
-0.14717
0.335367
1.93074
-0.953991
-1.05593
1.28809
-0.991964
0.769032
-1.40638
1.18073
-0.86184
-1.26694
1.97867
-0.522788
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-0.113904
0.404417
1.15572
0.440772
0.158468
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0.644391
-0.228224
-0.0172281
0.232249
-0.0570724
0.181941
-0.130346
0.629896
0.229734
0.452824
0.340263
0.227093
0.472527
-0.0907533
0.898162
0.620111
-0.187289
0.783282
0.427984
0.318875
-0.030667
0.0211923
-0.625168
0.603623
0.318046
0.210925
-0.107531
0.600306
-0.499994
0.260703
0.713385
-0.00249123
0.813627
-0.635897
0.580611
1.05523
-0.0775354
0.718836
-1.5195
0.740883
-1.95522
-0.146066
-1.06252
0.810694