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

Method : TMlpANN
Creator: cafuser4
Date   : Sat Jan 27 13:50:55 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_11483/work/macros3
Training events: 95098


#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'    [20.0753,376.185]
                        LepBEn                        LepBEn    'F'    [10.0113,296.424]
                       dilmass                       dilmass    'F'    [16.001,486.044]
                        metmag                        metmag    'F'    [0.00882513,113.931]
                         addEt                         addEt    'F'    [32.73,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13896]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,82.7415]
                       jet2_Et                       jet2_Et    'F'    [0,43.8047]
                       dildphi                       dildphi    'F'    [0.000191965,3.14159]
                          lepR                          lepR    'F'    [0.328769,4.35338]
                        metsig                        metsig    'F'    [0.00104551,9.098]


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

#input normalization
20.2341 55.9484
9.89848 39.0984
23.9065 79.4275
20.1674 13.4024
16.2326 94.3162
0.831194 0.727886
0.392616 0.139057
9.44661 3.27807
2.68237 0.343534
0.837853 2.64309
0.759084 2.76974
1.89849 1.22644
#output normalization
1 0
#neurons weights
-0.102753
0.324011
-0.0189564
0.0184068
-0.161614
0.153222
0.162886
0.0271481
-0.103391
0.122958
-0.277508
0.146616
-0.190342
-0.202723
-0.468363
0.181506
-0.0171317
-0.00284671
0.264297
-0.704915
-0.264627
-0.44828
-0.0199065
-0.468322
0.182828
-0.103856
-0.284939
0.15528
-0.123824
-0.271961
-0.462387
-0.313382
-0.498434
-0.241895
0.0812034
-0.151186
0.548332
0.31715
#synapses weights
-0.18789
-0.676375
-0.201766
-0.137731
0.190808
0.108165
0.309915
0.20223
0.189459
-0.325075
-0.411756
1.056
-0.602181
-0.0674472
-1.33458
0.553133
0.962821
0.680465
-0.022873
0.00664988
0.0640696
-0.402746
-0.390857
4.92775
0.036323
-0.109013
-0.893441
-0.0205709
0.512018
-0.369377
-0.196897
-0.0281117
0.131778
0.260339
-0.111689
3.66223
-0.186085
-0.081744
-0.690958
0.653738
0.0548112
1.67017
0.397384
-0.29249
0.39314
-0.565539
-1.14648
1.68368
-0.133145
-1.02832
-0.96552
0.885541
-0.187917
0.434711
0.233095
-0.120396
0.241699
-0.0951416
-0.683959
0.0950485
0.0763541
0.382971
0.152303
0.719226
0.605571
1.42132
0.139661
0.168883
-0.0406423
-0.669967
-0.411212
1.23236
0.558829
0.268493
0.647368
-0.355402
0.0690112
-1.09233
0.506602
0.494265
-0.337213
0.124774
0.791327
0.067527
0.060567
-0.13611
-1.57569
3.00526
0.392011
0.276908
-0.147453
0.0620595
0.132125
0.00743117
0.216789
0.131708
-0.205654
-0.126835
-0.105096
-0.0751859
-0.790023
1.08379
0.0386243
0.244376
-0.0212369
-0.555124
-0.0283743
0.495263
0.0466354
-0.12494
2.42299
-0.206339
1.23801
-0.713812
-0.0801352
-0.304875
-0.0220122
-0.311471
0.288275
-0.601454
0.180272
0.517886
0.758131
-0.796093
-0.895465
-0.660358
-0.43465
-0.309318
0.152887
0.346095
0.218465
0.224552
-0.29478
0.201172
-0.358314
0.864002
-0.453078
0.987633
0.46515
0.0411888
0.0632874
-1.01482
-0.405117
-0.418579
0.305452
0.767974
2.83537
-1.03271
0.442787
-0.640123
0.407185
-0.199752
-0.101834
0.191135
1.25277
-2.45096
-0.464844
-2.18198
-2.59373
0.07077
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0.937491
0.662923
2.01437
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1.42752
1.59515
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0.277585
0.658763
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0.349176
0.406631
0.313558
0.236141
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0.00593641
0.0684012
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0.113383
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0.375982
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-0.27744
0.593314
0.41902
0.327101
0.1665
0.0957489
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0.567815
0.0438578
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0.580842
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0.145573
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0.460516
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1.13092
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0.114445
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0.0822324
0.358259
-0.553998
0.771843
1.01985
-0.179649
0.537592
0.302641
0.0304797
0.590211
0.120878
-0.243293
0.162014
0.152092
-0.154025
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0.126457
-0.103073
0.56492
-0.601036
-0.457302
-0.225287
-1.14494
0.0436749
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0.241753
0.114123
-0.551773
0.147795
1.04228
0.0863898
0.0722774
0.00886733
-0.0772915
-0.162977
0.591602
-0.0288803
-0.433095
0.630808
0.294062
-0.62064
-0.508089
1.10673
0.498683
0.0393673
0.481617
-0.116298
-0.238551
0.193541
-0.180636
-0.283381
0.548626
0.0886616
-0.573383
0.412974
0.347051
0.372084
1.38312
-0.332295
1.14715
-0.48823
-1.46259
0.794888
1.17781
0.419672
0.684509
1.25207
-0.275636
-0.884447
-0.415695
0.494521
0.222613
0.182702
-0.16621
-0.406163
-0.251318
0.129067
0.190414
-0.158699
0.180661
0.386955
0.643199
0.33849
0.115838
0.160377
0.217855
-0.0928107
0.476795
0.462501
-0.31434
0.413204
-0.111326
-0.487654
-2.01011
-0.20353
-0.0595717
0.0503612
-0.341104
-0.430863
0.853971
-0.481125
-0.223659
2.12196
0.278567
-0.262913