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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 02:48:07 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_29455/work/macros3
Training events: 15946


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.1827,326.743]
                       dilmass                       dilmass    'F'    [16.0041,425.661]
                        metmag                        metmag    'F'    [0.122136,228.352]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.13317]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,323.263]
                       jet2_Et                       jet2_Et    'F'    [0,119.083]
                       dildphi                       dildphi    'F'    [0.000846856,3.14159]
                          lepR                          lepR    'F'    [0.337638,4.25751]
                        metsig                        metsig    'F'    [0.00832123,12.2693]


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

#input normalization
21.2338 53.074
16.481 45.0881
23.2315 79.6655
22.5491 14.7339
23.6694 87.4551
0.836197 0.681196
0.530002 0.202088
17.1709 5.80372
5.58124 1.00677
0.883713 2.6167
0.852229 2.89167
1.94069 1.26038
#output normalization
1 0
#neurons weights
0.378149
0.205521
-0.35892
0.465163
-0.363135
-0.130263
0.371923
-0.0118719
0.270929
-0.449706
0.124817
0.487618
-0.999258
-0.0738821
0.0195584
0.744774
0.0606433
0.128825
0.637763
-1.03818
-0.00760019
-0.0517318
1.46633
0.31987
-0.48763
-0.316444
-0.440118
0.49433
-0.284549
0.0448605
-0.328968
0.606996
-0.707059
-0.133113
0.0227903
-0.155538
0.307373
-0.213684
#synapses weights
0.381447
-0.973315
-0.138014
8.68296e-05
-0.489437
-1.02157
0.260083
0.624903
0.804371
0.705424
1.08016
-0.378793
-0.193807
0.171736
-1.00848
0.624371
-0.419154
-0.11716
0.310251
0.184973
-0.167341
0.45305
-0.0812098
0.729416
0.346417
0.0159539
-2.38694
1.60823
-0.103218
0.264386
-0.461804
0.11146
0.849211
-0.666878
0.181785
1.69428
0.0729376
-0.110188
-0.398231
1.06611
0.69341
-1.06445
0.138306
-0.000460397
-0.259551
-0.180059
-0.863821
1.44639
0.0265634
0.0948673
-1.81482
0.274276
0.314469
-0.106639
-0.562533
0.883375
-0.198799
-1.08855
-0.381128
0.0528227
0.0678906
-0.129325
-3.4923
1.20625
-0.770174
0.00754611
-0.00710089
0.438048
0.0789871
0.56665
-0.348988
1.8252
0.641007
0.0713912
1.03655
-1.93274
-0.611893
-1.01827
-0.032864
0.184887
-0.345271
0.831489
0.332133
-1.7878
-0.29301
-0.52266
-0.787037
-0.142
-1.52657
-2.23983
-0.515767
0.0960565
0.111194
1.73254
0.678668
-0.780139
-0.412561
0.376907
0.0373729
0.56723
0.497989
1.42275
0.18236
0.207698
0.153599
0.698919
0.0641804
0.360355
-0.0636302
-0.690482
-1.51948
2.85339
0.856399
-1.26067
-0.676901
-0.275066
0.038717
0.185761
1.99877
4.81254
-0.04394
-0.370756
0.381841
-1.15762
-0.79307
-1.47171
-0.0389691
0.267868
-0.560317
0.274944
0.183838
-0.92323
1.19736
0.65629
0.640079
0.677765
0.363624
-0.352258
-0.901968
-0.419736
0.0374282
1.22725
1.19205
0.114686
0.0639742
-0.192765
0.996064
0.21618
0.905179
-1.15039
-0.0135964
-0.296442
0.286085
1.15486
0.559876
-0.154899
-0.31928
0.311143
-0.422116
-0.265851
-0.35536
0.377546
0.143938
0.14815
0.0462261
0.138487
-0.106545
-0.197834
0.357939
-1.62936
-1.1813
1.28671
1.63949
-1.17607
2.42499
-1.10326
-1.76431
0.980469
2.7015
-1.02186
-1.3423
-1.10088
0.427261
0.44185
0.405966
-0.494225
-0.0405444
1.41405
0.727986
0.661514
0.0736705
1.116
0.439151
0.947256
0.120705
-0.47763
-0.218309
-1.12068
0.130338
-0.408825
-0.522406
0.178249
0.568717
-0.186506
-1.01236
-0.682387
-0.268147
-0.236024
-0.066426
0.0714606
0.0127919
-0.0338979
0.254194
0.760253
-0.136089
-0.621351
-0.0586367
1.06485
-0.395844
0.079021
-0.295999
-0.48021
0.0166998
-0.540922
-0.0684308
-0.281477
-0.491492
-0.246055
-0.00488385
0.433972
-1.39934
-0.170833
-0.358645
-0.315477
-0.102311
0.373357
0.351621
-0.373679
-0.222931
-0.482936
-0.611772
-0.374514
0.0721579
1.24609
0.0147656
0.420068
0.476644
-0.612223
-0.220782
-0.671191
-0.251828
-0.831679
-0.428496
0.486391
-0.243446
0.601801
0.29737
0.0513775
0.158976
-0.230704
0.221295
0.325709
-0.156696
0.505708
0.095425
0.175414
0.818073
-0.16155
0.416692
0.272932
-0.0277579
0.311438
0.143597
0.0876023
0.0994076
-0.213594
-0.00461104
-0.625757
0.237107
0.124542
-0.292682
0.226748
-0.133011
0.134406
-0.0244806
-0.31091
-0.105331
-0.455561
0.544561
-0.767724
0.556872
0.386343
-0.875171
0.108555
0.186055
0.437196
0.359625
-0.00970239
-0.376726
0.799369
0.434532
0.165713
-0.0713475
0.644753
0.164153
-0.384649
-0.506547
0.539757
-0.035631
0.074726
0.169147
0.420458
-0.00888008
1.40067
0.926416
-0.782341
-0.0199532
-0.367598
-0.826525
0.528566
0.395063
0.0986242
-0.440035
-0.501647