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

Method : TMlpANN
Creator: cafuser3
Date   : Sat Jan 27 15:19:24 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_21835/work/macros3
Training events: 189142


#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'    [20.0051,579.323]
                        LepBEn                        LepBEn    'F'    [10.0054,391.825]
                       dilmass                       dilmass    'F'    [6.83164,827.315]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [33.7775,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.14024]
                    ntightjets                    ntightjets    'F'    [0,8]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,191.005]
                       dildphi                       dildphi    'F'    [4.56351e-05,3.14158]
                          lepR                          lepR    'F'    [0.272354,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


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

#input normalization
30.5483 49.1303
16.0907 30.4048
32.5683 58.893
26.6044 30.0624
47.2831 97.1625
0.578759 1.66726
0.544418 0.212209
19.4322 6.57899
5.99536 1.11769
0.826935 2.18856
0.717574 2.33197
2.20471 2.51942
#output normalization
1 0
#neurons weights
-0.12054
-0.0328522
0.263248
-0.417806
0.341172
-0.242195
0.421389
-0.00462363
0.244946
0.189042
-0.255391
-0.328618
-0.578813
-2.08903
-0.386456
0.55347
0.369753
-0.0223391
-0.503475
-1.1926
0.411692
0.423993
-0.129855
-0.21982
-4.10535
-0.309789
0.187734
0.0391018
-0.0573925
-0.0609356
0.113599
0.220097
-0.350252
-0.336225
0.490338
-0.12739
0.234896
0.246056
#synapses weights
-0.386668
0.45735
-1.04342
0.127081
-0.588117
-0.0459111
0.0524227
0.175685
-0.0793195
-0.46022
-0.340847
0.0869701
-0.0767273
-0.273676
0.528063
0.366927
1.82201
-0.308343
0.0328956
-0.479403
-0.083998
-0.710632
0.848025
0.475789
0.348787
0.0148143
-0.466848
-1.03699
0.184442
0.561018
0.241207
0.456248
-0.259612
-0.018395
-0.323305
-0.397725
0.235572
-1.28525
-0.910887
0.318183
-0.444665
-0.121814
-0.00480574
-0.0843597
-0.147044
0.674121
-0.184478
-0.529079
-0.315281
0.563019
-0.626974
-0.621198
-0.24246
-0.631233
0.0276827
1.09818
-0.143072
-1.14838
-0.356154
-0.348964
-0.565693
-0.092532
-0.657917
0.331204
-0.667887
-0.731377
-0.269174
0.352743
0.132577
-0.651685
0.896085
0.0396642
0.673654
-0.413429
0.261583
-0.0321633
0.395381
0.263663
-0.181065
0.139683
-0.159283
-0.0696812
0.958727
0.41694
1.09302
-0.473364
0.519526
0.47824
0.169365
-1.12387
-0.0192401
-0.0478767
0.0203004
-0.389413
-0.151369
0.112374
-0.739606
0.381303
-0.879633
-0.320559
-0.0271848
-0.8648
0.172111
-0.0985021
-0.0466861
-0.287964
-0.900766
0.378123
0.212996
0.31899
-1.30274
-0.376799
0.639403
0.27032
0.171234
-0.174596
-0.0333553
-0.365128
-0.281396
0.583347
0.61413
-0.403504
0.703817
0.0606223
0.318346
0.417412
-0.00307079
-0.564731
0.0750173
0.314992
0.495397
0.0554518
-0.807954
0.727463
0.669684
0.0151528
-1.71592
0.824367
0.0267456
0.2189
-0.0299162
-0.392014
0.253878
0.00794267
0.033984
-0.316786
0.968321
0.419326
1.83851
-0.392253
-0.11164
-0.299486
0.0161112
-0.634361
0.695843
-0.0633103
-0.155648
-0.180124
0.109153
0.139238
-0.540318
-0.246289
0.216963
0.428597
-0.213576
0.168708
0.43266
0.596785
0.131695
0.451168
0.164161
-0.143039
-0.268095
-0.252617
-0.175699
0.0574216
-0.228057
0.286897
0.576399
-0.0798936
-0.394644
-0.163005
0.0168275
-0.207549
0.442938
0.364407
-0.180415
-0.00564545
0.214524
-0.0913624
-0.336078
0.0242294
0.0281642
-0.0696599
0.478451
0.352394
0.0288749
0.336525
-0.0402682
0.163762
0.391078
0.123685
-0.15745
0.00675706
-0.127904
0.536023
0.121222
0.419966
-0.170752
-0.57319
-0.221779
-0.747661
0.0372392
-0.352226
0.0987668
-0.0652363
-0.462551
-0.305166
-0.120889
0.0176587
0.644704
-0.14495
-0.265432
0.0105327
0.36234
-0.24737
-0.0728455
-0.0151033
-0.221151
0.0535106
-0.381468
0.329955
0.352763
0.152096
-0.291257
-1.04913
-0.479487
1.31575
-0.832849
-0.143756
0.86282
0.673846
0.103191
-1.31347
0.844292
1.7039
1.67043
-0.619296
0.161831
-0.207332
0.221578
-0.480645
0.252059
-0.210212
0.0196718
-0.5876
0.0382369
0.352578
0.344002
-0.301871
0.752622
0.172377
-0.0400602
0.0698297
0.304296
0.435311
-0.50102
-0.0893789
0.528402
0.260738
-0.705045
0.192237
-0.175262
0.438706
-0.625614
-0.574567
0.365172
-0.64394
0.359415
0.0176695
-0.313771
0.293571
-0.00590455
0.401201
0.206252
0.246312
-1.12841
1.1721
-0.766562
0.0591426
-0.852513
-0.282035
0.134741
0.142381
-0.866735
-0.719256
0.696937
-0.0969427
0.233931
0.26643
1.02597
1.00556
-0.823378
1.30892
1.86193
-0.7427
-1.31601
-0.00934222
1.27544
-0.579716
-1.26358
-2.33271
0.386977
-0.526087
0.113464
-0.00244802
-0.370417
0.292183
-1.52484
0.449899
-0.925442
-0.121353
1.29785
1.89936