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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 03:45:42 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_5439/work/macros3
Training events: 23882


#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'    [20.2521,407.751]
                        LepBEn                        LepBEn    'F'    [10.0847,308.769]
                       dilmass                       dilmass    'F'    [16.0018,622.364]
                        metmag                        metmag    'F'    [0.08236,249.36]
                         addEt                         addEt    'F'    [39.1068,722.412]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.02599e-05,3.13505]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,60.4053]
                       jet2_Et                       jet2_Et    'F'    [0,42.9829]
                       dildphi                       dildphi    'F'    [0.00079598,3.14152]
                          lepR                          lepR    'F'    [0.400246,3.57078]
                        metsig                        metsig    'F'    [0.0070067,13.8328]


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

#input normalization
20.5856 42.023
13.8436 28.8402
30.47 53.2891
14.7805 38.3419
36.0361 98.9418
0.611045 1.41916
0.51397 0.636605
11.0776 13.0287
2.63412 0.329989
0.83873 2.33951
0.755581 2.43243
1.30549 3.38514
#output normalization
1 0
#neurons weights
0.28666
-0.409216
0.300257
0.0452628
-0.049757
0.310102
0.0554424
-0.33746
-0.306225
-0.0499474
-0.0647141
-0.402621
-0.826526
-0.0477712
0.389404
1.2886
-2.68141
0.527296
-2.03963
1.47056
2.10981
1.58544
-0.400786
0.07403
-1.92573
0.110716
-0.195698
0.129112
0.576529
0.683079
0.41698
0.353935
0.260797
-0.153266
0.379434
0.300639
-0.148427
-0.156569
#synapses weights
0.550004
0.649071
1.44566
-0.156231
1.76901
0.338424
-0.150404
-0.54897
-0.386479
-0.10426
0.354175
-0.0941833
-0.542193
-0.280133
-0.847557
0.545261
-1.30614
0.42953
0.650554
0.0612708
0.022684
0.865362
0.801062
0.287272
-1.58611
-0.434421
-1.07149
0.122809
-1.47127
-0.0418804
0.0942283
-0.949321
0.035391
0.877266
0.111936
0.125667
-1.37839
-0.647005
-1.00882
-0.461262
-0.747297
0.123541
1.04163
0.333305
-0.238813
0.402621
0.270765
0.167861
0.612389
0.691386
1.00136
0.581364
2.09928
-0.0581724
0.565623
-0.406406
-0.0348137
-0.39182
1.03739
0.337272
-0.011712
-0.0664802
0.732857
0.585611
0.0805174
0.413313
-0.184849
-0.406949
-0.203023
0.819988
0.341485
-0.316546
-0.861844
-0.402361
0.31513
3.40934
-1.54829
0.297002
0.203068
-0.319228
-0.102247
0.470585
-0.148041
-3.44215
0.780729
0.83102
0.971057
-0.289833
0.480391
0.174233
0.263434
0.319857
-0.0860953
-0.313518
0.37893
-0.731729
0.29248
0.357823
-1.47931
-1.14213
-2.375
0.0456459
-0.286146
0.378391
0.27865
0.395395
-1.00484
0.113009
-0.43304
-0.49669
-0.562453
-1.32136
-0.851373
0.69495
-0.13289
0.136731
-0.160872
-0.599887
-0.76175
-0.930603
-0.200708
0.665249
0.752415
-0.702731
-0.65798
-0.121022
0.59078
0.085835
-0.20848
0.928945
0.106722
1.03219
-0.235135
0.296525
1.23068
0.608367
-0.186701
-0.232487
-0.532776
-0.278325
-0.0298523
0.445098
0.525473
-0.377382
-0.318628
0.105073
0.330622
-2.08527
-0.832875
0.264791
0.0886822
0.17751
0.0594427
1.05907
-0.00364519
2.26765
0.139148
0.033526
0.473126
0.21943
0.784112
0.0986827
-0.181069
0.196781
-0.152274
0.148489
0.165695
-0.295553
0.0876854
0.98543
-0.423188
-0.635446
-0.359094
0.0905904
0.251374
-0.641433
0.47978
-0.535616
-0.624542
-0.295131
-0.135207
-0.560714
-0.768207
0.680968
1.10491
0.852789
-0.716146
-0.416317
-2.27511
0.483447
1.0121
-0.613815
-0.0789856
-0.201899
0.95918
0.170894
0.834092
1.10239
0.649904
-0.821877
0.343161
-0.77297
0.318686
0.151224
-0.934163
-0.45504
-0.537339
-0.568915
0.558718
-1.28172
-1.98616
-2.0529
2.51255
-1.20897
-0.291701
-0.912841
-2.27551
-0.480519
-1.47743
-1.08649
-0.216786
-0.233337
-0.845537
-0.253629
-0.294035
-0.248397
0.161243
0.341447
-0.18994
0.712797
-0.522035
-0.0667152
-0.0489938
0.464617
-0.676093
1.02885
0.567698
0.497067
-1.19265
0.0954115
0.708308
-0.00438028
0.46149
0.159705
0.671601
0.368672
0.896976
0.298562
0.0988802
0.0225713
-0.210558
-0.12785
0.517061
0.239571
-0.00169649
-0.199335
0.152391
0.527231
0.754699
0.615029
0.265343
-0.756451
-0.576862
-0.177128
0.082926
0.212797
0.410323
0.158384
0.78533
-0.405854
-0.244428
-0.0684001
0.665105
-0.282599
0.106723
-0.185242
0.475544
-0.641009
0.536468
0.208431
-0.182395
-0.276691
-0.114995
-0.329257
-0.249489
0.0309486
0.831561
-0.870387
-0.898125
-0.399001
0.0185886
-0.345306
-0.94599
-0.480631
0.400637
0.0918941
-0.522741
-0.751185
-1.48916
-0.545659
-0.0822665
0.181919
-0.149086
-0.225585
-0.257141
-1.26033
-0.13222
0.0788563
-0.358789
-0.0959703
-0.302439
0.860994
0.201693
1.03122
1.70558
1.35412
-1.6394
-0.678654
-1.38612
-0.0940069
-0.792079
-0.00283196
1.65269
-1.22542