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

Method : TMlpANN
Creator: cafuser4
Date   : Sat Jan 27 14:11:24 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_4273/work/macros3
Training events: 103234


#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'    [10.0159,296.424]
                       dilmass                       dilmass    'F'    [16.001,486.044]
                        metmag                        metmag    'F'    [0.00882513,129.34]
                         addEt                         addEt    'F'    [32.73,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [5.44316e-06,3.13813]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,86.3836]
                       jet2_Et                       jet2_Et    'F'    [0,49.4582]
                       dildphi                       dildphi    'F'    [4.2571e-05,3.14159]
                          lepR                          lepR    'F'    [0.219212,4.35338]
                        metsig                        metsig    'F'    [0.00104551,10.2737]


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

#input normalization
26.0386 86.8678
12.0295 47.6938
20.1281 82.2216
24.2631 19.465
27.6829 101.351
0.875749 0.660268
0.404658 0.148013
9.73002 3.49263
2.83578 0.378912
0.825899 2.66023
0.75289 2.81961
2.08907 1.65628
#output normalization
1 0
#neurons weights
0.45713
-0.312705
0.165104
-0.466633
0.0277829
-0.267125
-0.274719
-0.0710191
-0.0471205
0.427591
0.124731
0.0500801
1.5683
-0.645009
0.0120402
0.0785912
0.580563
0.221241
0.163588
-1.02706
0.295118
-0.0391206
1.35682
0.0529665
-0.431948
0.433383
-0.647319
-0.555531
0.0922246
0.426288
-0.0401162
-0.5289
-0.0771657
-0.100695
0.485041
0.302254
0.175639
1.32275
#synapses weights
-0.570358
-0.400083
-2.92572
-0.0231087
-0.808535
0.75531
-0.0467801
0.252945
-0.0985815
-0.776467
-1.12243
-0.533147
0.413618
0.572714
0.344143
-0.216594
-0.34028
0.291786
-0.0844411
-0.0374824
0.120084
-0.0195939
0.908731
-1.55779
-0.692759
-0.513389
-4.031
0.908583
-1.07092
0.112099
-0.159379
0.0978041
0.0262664
0.395908
-1.13151
2.44044
-0.30937
0.142949
-0.445817
0.385431
0.456199
1.67518
0.287167
-0.184453
0.173445
-0.49505
-0.499321
1.53336
-0.312785
-0.0601076
0.0153099
-0.583267
0.390505
0.0852282
-0.172798
0.0885293
0.125059
0.471895
-1.10722
5.70673
-0.99317
-0.0362462
-0.374432
0.781031
0.154386
2.27946
-0.132833
0.259144
-0.0611181
-0.685063
-1.54739
0.752671
0.60482
0.181417
-0.158617
-2.5239
-2.26752
-0.0866695
0.34217
0.118775
-0.1408
0.713903
-0.106179
-2.40447
0.166768
0.441907
-0.0399145
-1.18016
-1.71795
0.00636977
0.0658919
-0.0146442
0.219302
0.0471178
0.279381
-1.37885
-0.443454
0.0717011
-0.799502
0.401439
0.153798
0.508115
-0.359126
0.243119
-0.103896
-0.604022
0.0104595
1.064
1.05254
0.326083
1.46908
-2.10178
-0.949208
-0.646158
0.274845
0.0733216
-0.0155861
1.62831
1.71982
-1.64181
0.138056
0.102141
-2.10691
-1.18993
-1.54043
-0.112528
0.173426
-0.154432
-0.0447939
0.274904
0.0193554
-2.70268
-0.33132
-0.311306
-0.940375
2.84721
0.935553
0.431136
0.012468
0.0345556
-0.0319072
-0.324995
-0.100478
1.81112
0.101723
0.227939
1.49905
-1.18901
-0.25891
-0.16529
-0.0135201
0.212684
0.0574658
1.006
0.41435
0.403085
1.9561
1.16258
-1.78185
-1.07463
-1.98613
-1.34337
1.03219
0.616239
0.22171
-0.459778
1.73357
0.637646
-1.10422
0.323273
0.507131
0.107995
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0.241061
0.871796
0.00645263
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0.476408
-0.641235
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0.462617
-1.02515
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-1.49616
0.707687
0.25974
0.200896
0.174554
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-0.0896282
0.11807
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0.272897
0.0756227
-0.184516
0.371526
0.520545
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0.0109202
0.344219
0.546048
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0.771916
0.0285613
-0.0774382
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0.486648
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0.597477
0.393321
0.403893
0.636198
0.356636
0.606528
-0.550984
0.158936
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-0.361729
0.782684
0.42515
-0.0750319
-0.825305
-0.693385
1.92953
0.268122
2.97069
-0.631465
0.413571
-1.40081
0.176644
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0.359101
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0.890962
0.430489
1.25161
0.464143
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0.0529883
-0.149594
-0.161762
-0.531684
0.692895
0.285725
0.257422
0.0494759
0.68874
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-0.770286
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0.185074
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0.26944
0.542099
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0.491242
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-1.33747
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0.0830066
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0.919827
0.59314
0.0376829
-0.314383
0.222891
-0.0557695
0.310654
0.15455
0.130913
0.0645772
-0.202307
0.392025
-0.059524
0.384252
-0.188947
-0.526573
-0.294635
-0.262656
0.366953
-0.815157
0.533755
-0.0579054
-0.0936064
0.0728244
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-0.293792
-0.0082885
-0.534917
-1.78892
0.836688
-0.366434
0.378639
0.966215
-0.637145
1.55991
-0.42981
-1.05817
-1.2653
0.0110099
-0.483565