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

Method : TMlpANN
Creator: cafuser2
Date   : Sun Feb  4 17:55:22 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_17845/work/macros3
Training events: 19628


#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'    [20.0036,308.823]
                        LepBEn                        LepBEn    'F'    [10.0268,386.004]
                       dilmass                       dilmass    'F'    [16.0187,567.836]
                        metmag                        metmag    'F'    [0.0417844,307.168]
                         addEt                         addEt    'F'    [33.7617,562.99]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000296664,3.12438]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,382.29]
                       jet2_Et                       jet2_Et    'F'    [0,102.732]
                       dildphi                       dildphi    'F'    [0.00150033,3.14158]
                          lepR                          lepR    'F'    [0.402557,3.64288]
                        metsig                        metsig    'F'    [0.00334611,13.78]


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

#input normalization
13.0251 55.5368
10.2993 33.6065
25.6954 77.0086
15.1847 18.6701
14.2986 96.5964
0.650611 0.888451
0.560991 0.686769
18.4336 20.2089
4.94221 0.841599
0.806243 2.59059
0.769574 2.73466
1.45265 1.63207
#output normalization
1 0
#neurons weights
0.471319
0.381339
-0.465836
-0.127164
-0.232888
0.348341
0.180646
-0.31532
0.0503636
0.338437
-0.400668
0.16245
0.0501862
0.0295924
-0.0743675
0.357831
-0.269529
-0.262136
-0.354702
0.142804
-0.565038
0.517542
-0.179832
-1.02733
-0.191392
0.252438
-0.404233
0.218888
0.48882
0.32939
0.344498
0.0424926
-0.186174
0.285207
-0.139386
-0.600719
-0.21685
0.207247
#synapses weights
0.268125
-0.648693
-1.11058
1.69238
0.0773239
0.115732
-0.0129509
-0.807634
0.169063
-0.628558
-0.957562
1.16233
0.213154
-0.629914
-2.59117
-0.10266
-0.171657
0.461711
0.0592244
-0.176186
0.0623429
-0.546595
-0.6043
3.1405
-0.0424345
0.112185
-1.50123
0.940437
-0.604922
-0.0917315
-0.0691309
0.177627
-0.0697821
-0.377674
-0.557362
0.432455
-0.345851
-0.29462
-0.792034
0.293066
0.120203
0.541779
0.29552
0.770104
-0.0939473
-0.710937
-0.794967
0.343896
0.0543476
0.541912
0.746716
0.00566075
-0.617707
-0.221379
-0.143835
-0.2199
0.204492
0.0933514
0.564527
-0.743058
-0.299145
0.0258529
0.96277
-1.1415
-0.342846
0.299409
0.302614
0.210285
0.00498123
0.513137
0.439666
-1.61165
0.135034
0.440614
0.402413
0.0521248
-0.427707
-0.138078
-0.153536
-0.17591
-0.20249
0.777327
0.46374
-0.203837
0.250808
0.870697
1.22855
-1.01278
0.297037
-0.289653
-0.161855
-0.15139
-0.27416
-0.0986513
0.601954
0.147928
0.142818
0.759946
0.0494115
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0.0723784
-0.328958
-0.195638
0.471061
0.0232487
0.695194
0.55488
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-0.955057
-2.25256
0.815901
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0.195818
0.243202
-0.504808
-0.506483
1.25649
-0.0832047
-0.827857
-1.15177
1.00902
0.75906
0.501547
-0.0544965
0.380796
0.138999
-0.158854
-0.0527624
1.98767
-0.165312
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-1.06184
2.75055
0.00709731
0.324692
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0.638228
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0.317497
-0.521989
-0.445196
-0.112735
-0.0945501
1.90316
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0.032602
0.504727
0.126819
0.0658552
0.554192
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0.452411
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0.198755
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0.786901
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1.0727
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0.500059
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0.0627174
0.115258
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0.943615
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0.153884
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0.321097
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0.353964
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0.341302
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0.587669
0.540286
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0.290281
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0.193905
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0.024049
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0.125611
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0.090892
0.211316
0.472146
0.370857
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0.298539
0.40548
0.820683
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0.970729
0.228348
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0.226726
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0.203993
0.428311
0.0423715
0.506682
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0.347838
0.37291
0.0344821
0.32014
-0.388947
1.54563
0.773566
0.0340692
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0.802228
-1.33779
0.621376
0.390948
-1.11146
-0.947141
1.42424
0.135845
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0.761896
1.61951
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0.496965
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0.440902
1.19443
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0.012531
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0.0839598
0.353769
0.457809
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0.151067
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-1.08979
-0.219314
0.0509578
0.0210421
0.557237
0.308288
-0.380444
0.319647
-0.314491
-1.01424
1.24106
1.07177
0.228027
-0.248159
0.461064
0.449057
-0.120716
0.734156
-0.447588
-0.33423
0.696651
0.316252
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-1.86707
-0.936731
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0.581048
2.66823
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2.41395
0.0807446
-2.07049
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