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

Method : TMlpANN
Creator: cafuser6
Date   : Sat Jan 27 15:55:30 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_15899/work/macros3
Training events: 116078


#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'    [20.0051,560.525]
                        LepBEn                        LepBEn    'F'    [10.0113,326.456]
                       dilmass                       dilmass    'F'    [6.62592,658.809]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [33.7775,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [7.15434e-06,3.14113]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,307.807]
                       dildphi                       dildphi    'F'    [0.000191965,3.14158]
                          lepR                          lepR    'F'    [0.239303,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
33.5244 84.0996
23.1169 53.3304
63.1084 117.217
16.056 49.9839
62.557 174.642
0.606232 1.45186
0.569936 0.694285
17.2931 13.7715
5.63412 0.974884
0.844435 2.23969
0.739582 2.37812
1.29071 3.58096
#output normalization
1 0
#neurons weights
0.262992
0.45306
-0.0396566
0.285582
0.259175
-0.287008
0.268578
0.389625
-0.20249
0.151195
0.365261
0.443833
-1.12522
-1.2924
-0.656849
0.0141829
1.73339
0.477056
1.84713
1.88272
0.571563
-0.171066
-0.0958818
-0.188726
-0.00142007
0.371818
0.250982
-0.614632
-0.554919
0.310147
-0.612907
0.27785
-0.422946
-0.627038
0.201068
0.270027
-0.857976
-0.338861
#synapses weights
-0.566702
-1.08888
-0.416485
-0.731506
-0.927407
-0.184303
0.0903948
0.131824
0.165309
-0.337529
-0.880567
-0.0937123
0.00955791
0.332686
-0.897531
-0.6923
-0.979695
-0.388572
-0.456702
0.201242
0.23954
0.0942252
-1.11435
0.109181
-0.138312
-0.0648883
0.204667
0.89374
-1.92046
0.125007
-0.0866561
0.0844476
-0.156971
0.613684
-0.221411
0.66998
-0.0191165
-0.469859
-1.76834
1.09489
-1.63895
1.00144
-0.0544605
0.495273
0.19018
0.25655
-0.435011
-2.11825
0.123455
-0.522078
2.08897
2.45468
2.98734
0.0268921
0.570622
-1.3189
-0.676449
-0.74953
0.663973
-1.21116
0.0797157
-0.210497
-0.877508
0.225308
1.6406
-0.152936
-0.00332758
0.00955883
0.0209616
-0.881194
-0.649634
-0.716146
0.0272242
0.601501
3.04854
1.25947
4.63988
-0.0707728
0.255332
-1.70962
-1.02744
-0.690932
0.553384
0.622709
-0.135543
0.65778
4.29563
1.10567
0.322511
0.644225
0.214636
-0.0697006
-0.0889732
-0.5002
0.543548
-1.24666
0.431352
-0.166683
0.144867
-0.495362
-0.183422
-0.529104
0.944418
1.12165
0.548681
-0.678459
0.177859
-0.723639
-0.285421
1.01235
0.0158368
1.50043
0.644464
-0.757328
0.0831277
-1.37631
-0.54804
-0.162335
0.72748
0.242031
0.0725346
1.28205
0.919072
-0.101655
0.311081
0.488415
-0.291465
-0.597736
0.0368819
0.583881
1.07336
-0.00868067
0.110563
-0.287457
0.875989
1.66635
-0.310586
-0.0478035
-0.0462197
-0.2199
-0.0258216
-0.096347
-0.0992717
-2.14922
-0.478174
-0.268642
-0.462101
0.0809436
-0.197645
0.0559796
0.0061868
0.651623
0.401224
-0.254353
0.00604881
0.774996
-0.150243
-0.202891
-0.0461705
0.521106
-0.119679
0.27269
0.0518341
0.464679
0.390313
0.405387
-0.24714
-0.0358278
-0.040889
0.0299309
-0.853275
0.263046
-0.19883
0.148525
0.452984
0.437099
0.0640289
0.575912
0.676938
0.75224
0.24411
-0.174363
-0.155622
-0.0963363
-0.199725
0.229196
-0.0499856
0.415653
-0.898221
-0.617899
-0.0248058
-0.0636938
-0.382267
-0.240735
0.467859
-0.2329
-0.32333
0.113501
0.434298
-0.408989
0.0532508
-0.784133
-1.05959
-0.383081
0.840854
-0.0553811
-0.777223
-0.315205
0.407949
0.121955
0.331155
-0.262102
0.409601
-0.177016
-0.302807
-0.569202
-0.117267
0.937269
0.0419791
-0.43302
0.201607
0.446162
-0.469936
0.401652
-0.395696
-0.427909
-0.253733
-0.140464
0.338979
-0.0744467
-0.541149
-0.28603
-0.135266
-0.396048
0.145186
-0.00935989
0.533001
0.179372
-0.430064
0.26328
0.821936
0.706944
-0.0114676
-0.1373
0.0560112
0.0320182
-0.174401
-0.107907
-0.433449
-1.12474
2.15622
-2.71239
0.601646
-3.09693
-2.76684
-0.44253
1.05142
-1.06426
-2.29612
0.0558244
0.248335
0.198926
-1.13404
0.24078
-0.96807
0.106195
-1.39698
-1.56504
0.0570218
0.378792
-0.571499
-0.62531
0.072094
-0.315717
0.186177
0.142275
-0.659317
-0.196879
0.485255
-0.120447
-0.475139
0.391218
0.629414
-0.278733
0.415934
-0.0921995
-0.281462
-0.494122
0.0639563
-0.0101723
-0.0174756
-0.249395
-0.0232793
-0.560218
0.158182
-0.0499906
-0.362256
-0.341332
0.157469
0.150987
0.773658
0.530496
-0.045189
-0.840412
-1.11987
-0.116451
-0.684709
-1.6173
-1.64235
-0.198152
-0.731169
0.18662
0.364117
0.184327
-0.36054
1.06155
-0.153528
0.266419
-0.0442492
2.12769
-0.429038
-0.122939
0.0980384
-1.46592