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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 02:55:26 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: 22172


#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'    [20.029,560.525]
                        LepBEn                        LepBEn    'F'    [10.0367,347.054]
                       dilmass                       dilmass    'F'    [16.0019,591.09]
                        metmag                        metmag    'F'    [0.336229,420.914]
                         addEt                         addEt    'F'    [36.3276,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000199058,3.13746]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,73.0187]
                       jet2_Et                       jet2_Et    'F'    [0,40.8082]
                       dildphi                       dildphi    'F'    [0.000191965,3.14158]
                          lepR                          lepR    'F'    [0.328769,4.26952]
                        metsig                        metsig    'F'    [0.0262618,15.2247]


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

#input normalization
25.3546 60.497
36.4128 70.4647
33.4751 77.3863
22.2694 26.4186
30.7906 105.816
0.742491 1.19805
0.398441 0.140059
9.57274 3.30587
2.83051 0.38274
0.906016 2.3869
0.795553 2.5894
1.95362 2.40555
#output normalization
1 0
#neurons weights
-0.139942
0.188831
-0.272808
-0.277149
-0.478229
0.0997872
-0.0735157
-0.0777888
-0.0283749
0.0979454
0.064449
0.24803
-0.0568315
-1.50332
-0.358635
-1.42263
-0.50399
0.465621
-0.525819
-0.57943
-0.173881
-0.595759
0.90612
5.83716
0.253017
-0.361343
0.506956
-0.697907
-0.621536
0.512096
-0.159902
-0.301053
-0.215289
0.015564
-0.359512
-0.75602
0.0464845
-0.250449
#synapses weights
-0.346264
-0.296879
0.437063
0.270954
-1.41689
0.407544
-0.254657
0.0906024
0.232389
1.24096
-0.37561
-1.0189
-0.117312
0.379406
-0.0676959
0.9204
2.69724
-1.43963
-0.1374
-0.265986
1.26886
-0.930155
-0.608553
0.223893
-0.202739
0.25192
-0.390722
-0.145446
-0.430155
0.414722
0.13148
0.0570954
-0.0668286
0.127234
0.702962
0.305901
0.111856
0.211529
2.27558
1.14836
2.32785
-0.587381
0.142803
-0.462372
-0.174707
-1.32593
0.9147
-0.429538
-0.721802
-0.210256
-1.0188
0.185554
-1.39086
-1.0391
-0.165147
0.044481
-0.459165
-0.374722
0.337314
0.232727
1.4239
0.599604
1.44192
-0.10968
0.950909
-0.0142875
0.236208
0.204461
0.205145
0.387385
-0.279785
0.304884
0.080439
0.0223677
0.00223528
0.528892
0.699895
0.611901
0.158019
-0.106895
0.174693
0.00689432
0.618942
-0.125555
1.9485
0.387125
1.24178
1.28868
0.509723
-0.364713
0.278245
-0.236389
-0.0517659
-0.676109
-0.0973492
0.676684
-0.190135
0.231703
-0.97775
-0.493551
0.252065
0.0905621
-0.90259
-0.589886
-0.335126
0.431587
-0.653061
0.0647869
0.223846
-0.249599
-0.676482
-0.528548
-0.561669
-1.6827
0.344713
-0.0668589
0.100278
-0.25267
-0.276352
0.592936
-0.115601
-0.575985
0.570678
1.70082
-0.175415
0.468589
0.0446915
0.0118936
0.232266
2.10882
-0.146035
0.172683
-0.256683
-0.34944
-2.13052
-0.865964
-3.12627
-0.262463
-0.0415718
0.204873
0.265551
1.75809
-1.3193
-0.668137
0.399109
-0.486747
-2.39616
-0.967675
0.650247
-0.714764
-0.336133
-0.0236541
0.260416
0.313839
0.0389744
1.7026
-0.203484
-0.875853
-0.276528
-1.22424
-1.30229
-0.382281
0.180711
-0.106168
0.631508
-1.40777
0.34396
0.20127
-0.0069834
0.684725
-0.714412
-0.420372
1.10879
0.189507
-0.334276
0.603365
0.55999
-0.0211873
0.0294386
0.718399
-1.02
-0.364181
-0.424372
-0.529287
-0.045288
0.146137
0.225942
-0.579261
0.182757
-0.0134913
-0.017738
-0.302286
-0.388126
-0.603429
0.51447
-0.836689
0.676841
0.45608
-0.476122
-0.728591
-0.282017
0.291562
-0.707802
-0.0790406
-0.515301
-1.05348
1.10127
1.05428
0.0849013
0.04658
0.0573676
0.389818
-0.280098
0.65815
-0.0749671
-0.30854
0.0649962
0.132285
-0.0103082
0.525478
-0.295964
-0.411639
0.180644
-0.115053
-0.285761
0.347911
0.0425806
-0.37947
0.167287
-0.446723
0.309573
-0.378078
-0.00439638
0.138168
0.157305
0.340627
0.0277141
-0.168571
0.166103
-0.313946
-0.223145
0.0663843
0.313049
-0.355121
-0.192714
0.559058
0.036008
-0.226167
0.54814
-0.332339
-0.79462
0.398212
0.148051
-0.0570845
-0.532211
0.0583199
0.0175772
0.00961142
0.602856
0.566566
-0.0692198
-0.759555
0.608501
0.100016
0.125329
-0.49306
-0.46885
0.154991
0.502758
0.456965
-0.303214
-0.050871
0.19441
0.252536
0.185767
-0.602316
1.16946
-0.87321
0.205908
-0.342531
0.151399
0.426674
-0.0723156
0.5078
-0.0883428
0.166593
-1.67591
0.436572
0.913584
-1.89396
0.545024
0.406147
0.0454219
-1.27875
-0.960212
-1.24793
-1.64604
3.04074
2.15287
-0.384621
0.350157
-0.545088
0.0128786
-0.0670349
-0.5195
-0.56756
-0.471163
0.368844
-0.246307
-0.233912
-0.103154
-0.24091
-1.25466
0.0569142
-0.275577
0.402543
-0.0774825
-0.506432
-0.244082
-0.927697
0.0941545
0.912676
1.85351
0.360036