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

Method : TMlpANN
Creator: cafuser3
Date   : Sat Jan 27 13:38:49 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_7764/work/macros3
Training events: 43424


#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'    [20.0374,376.185]
                        LepBEn                        LepBEn    'F'    [10.0094,296.424]
                       dilmass                       dilmass    'F'    [16.0027,486.044]
                        metmag                        metmag    'F'    [0.00882513,90.8915]
                         addEt                         addEt    'F'    [33.4645,492.102]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [7.12609e-06,3.13343]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,82.6718]
                       jet2_Et                       jet2_Et    'F'    [0,38.5206]
                       dildphi                       dildphi    'F'    [4.55707e-05,3.14159]
                          lepR                          lepR    'F'    [0.31422,4.35338]
                        metsig                        metsig    'F'    [0.00104551,7.92462]


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

#input normalization
24.2385 73.5405
12.6696 38.3028
26.5294 77.6286
15.1752 13.2648
12.1523 86.4671
0.653393 0.924218
0.390633 0.137482
9.40324 3.24626
2.66286 0.338123
0.806429 2.64078
0.760287 2.81243
1.52204 1.28626
#output normalization
1 0
#neurons weights
-0.329919
-0.134899
-0.333585
-0.316797
-0.326324
-0.0919926
-0.247454
-0.492052
-0.325632
-0.245111
0.381527
-0.309923
-0.487486
-0.581699
0.914064
-0.627013
-0.141597
0.365705
0.524375
-1.09897
0.588768
-1.32884
-0.51689
-0.0530877
0.564438
0.546922
0.625268
0.0351059
-0.539044
-0.854597
-0.00820648
-0.633774
-0.240581
0.27776
-0.504211
0.120886
0.482278
-0.0147333
#synapses weights
0.279404
0.354721
0.366352
0.417215
-0.424033
-1.17374
-0.132888
0.211237
-0.148607
0.201645
0.408955
-0.810257
-0.180048
-0.242268
-1.23469
0.976275
0.671206
0.388787
-0.254595
-0.586044
0.195166
-0.20062
-0.52234
0.99675
0.680316
-0.597354
-0.389519
-0.0613367
0.922592
-1.58988
0.123441
-0.387275
-0.459294
0.751491
-0.173444
0.882153
-0.0909205
-0.616979
0.0121012
0.356077
-0.499854
-0.501573
-0.315898
0.163285
-0.504921
0.325495
0.847092
-0.881813
-0.215988
-0.570134
-0.425456
0.674586
0.0696747
0.215408
-0.0181464
-0.0227169
0.106643
-0.766296
-0.564407
0.395576
-0.327127
-0.641795
-0.356896
0.885991
0.395594
0.288795
-0.16249
0.158029
0.397318
0.115114
-0.352778
-0.142516
-0.140903
0.419457
-3.31839
-0.0766886
-0.538032
0.697761
-0.111985
0.16694
0.00296644
1.12547
-2.14619
1.55822
0.289536
0.697519
0.171992
1.08824
-0.532004
0.700279
0.0447035
0.131361
0.0870808
0.946657
-0.106497
-4.15148
0.0859892
0.369273
-0.167997
0.558211
0.0525149
0.12948
-0.176017
0.207217
0.0671103
-0.0685649
-0.0181501
0.211993
-0.55128
-0.20554
-1.64696
0.615748
-0.690401
1.33555
-0.00888046
-0.0837048
-0.0153172
-0.770873
-1.83334
0.971016
0.440454
0.122257
0.637072
1.01937
-0.396107
-0.855125
0.408144
-0.0922629
-0.260071
0.161105
0.447564
-3.45192
-0.159206
-0.733754
-0.227761
1.44168
0.623744
-0.280047
-0.0932967
0.0839083
-0.00929362
-0.514428
-0.464727
0.38089
0.326274
0.406495
1.37352
-2.05285
-0.430147
-0.433004
0.184225
0.217814
-0.0827021
0.822864
0.693465
-0.637454
0.741611
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0.904607
0.0963006
0.295415
-0.0952509
0.306097
0.186537
-0.973549
0.436604
0.16223
0.687358
0.5786
0.0494273
0.270485
0.0478274
-0.0758976
0.320157
-1.275
1.81441
0.13053
-0.963833
1.30085
0.308965
-0.383575
-0.381984
0.296885
0.00354422
-0.0507497
-0.133344
0.0222384
0.44072
-0.173521
-0.123727
0.339621
-0.106336
-0.348936
-0.71836
0.422396
-0.575984
-0.399394
-0.190274
-0.215441
0.177785
0.272374
-0.140559
0.253902
0.470489
-0.603031
0.211389
-0.265215
-1.10555
-0.109684
0.885668
-1.30877
0.274483
-0.224526
2.93986
-2.58113
-0.0275513
1.06963
-1.92841
-0.556277
0.369172
0.437764
0.242724
-0.140737
0.343876
-0.224002
-0.320373
0.182723
-0.393201
0.627446
0.221395
0.162325
-0.468485
0.175491
0.119655
0.260158
-0.0270507
0.131344
0.373597
-0.393815
-0.224051
-0.392767
0.347424
0.153422
-0.376465
-0.0712813
-0.216367
0.309897
-0.184009
-0.335585
-0.466948
0.207531
-0.112225
-0.0942539
0.507117
0.284678
-0.395781
0.446534
-0.41654
-0.255995
-0.21346
-0.492571
0.60733
0.152971
-0.219036
-0.0760561
-0.84784
0.467396
-0.227531
-0.849232
1.38989
-0.12288
1.12617
0.210921
-0.642081
-0.533526
-0.0453493
-0.336746
-0.164812
0.165021
0.552295
-0.330052
0.101982
0.170078
-0.467041
0.0135447
-0.0757674
-0.0723662
0.0518283
0.25934
-0.349639
0.280347
0.185318
-0.639316
0.51597
0.391507
-0.0161027
0.555051
-0.440397
0.242391
0.212397
0.145116
-0.0412569
-0.381855
-0.272818
-0.469097
0.183296
-0.283439
0.386103
0.51247
0.586692
-0.341063
0.890656
-1.04654
-0.567705
0.0124342
1.91717
-0.03653
-0.0301151
0.124826
0.925777
-0.189411
-0.326675
-0.599339