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

Method : TMlpANN
Creator: cafuser2
Date   : Sun Feb  4 17:42:07 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_17845/work/macros3
Training events: 17966


#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'    [20.1202,344.546]
                        LepBEn                        LepBEn    'F'    [10.0283,223.413]
                       dilmass                       dilmass    'F'    [16.0011,539.012]
                        metmag                        metmag    'F'    [0.242859,240.369]
                         addEt                         addEt    'F'    [32.2515,686.831]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.97426e-05,3.13783]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,308.725]
                       jet2_Et                       jet2_Et    'F'    [0,146.725]
                       dildphi                       dildphi    'F'    [0.000165216,3.14158]
                          lepR                          lepR    'F'    [0.390365,4.18182]
                        metsig                        metsig    'F'    [0.0242314,11.5751]


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

#input normalization
24.3009 65.8662
12.0799 24.5851
14.5055 50.5185
14.8506 21.1119
20.8199 74.2857
0.768817 0.635231
0.503189 0.189097
17.3316 5.6957
5.22947 0.89174
0.827127 2.5901
0.77167 2.76776
1.25696 2.2667
#output normalization
1 0
#neurons weights
0.00174206
-0.38799
-0.279472
0.395466
-0.186356
-0.065254
0.239416
0.314078
0.173901
0.450428
0.144353
-0.00506051
-3.39836
0.462428
0.594394
-0.363165
-0.942591
-1.75298
-0.290006
0.972939
0.0142183
0.603195
-0.107109
0.169109
0.0320414
0.0856787
-0.00354948
0.442656
0.639534
-0.224076
-0.211537
-0.020769
0.300738
-0.0813344
0.577631
-0.144177
-0.937459
-0.38572
#synapses weights
0.532616
0.79281
0.979547
0.999361
0.554942
0.48275
-0.776859
-0.450783
-0.113786
-0.346665
0.359786
-2.28374
0.630666
0.65416
1.30541
-0.507913
-0.161543
-1.77928
0.111836
-0.650402
-1.14189
-0.682368
0.0314117
-0.00926815
0.114023
0.719966
-1.01811
-1.20876
0.346355
0.00279377
-0.927776
-1.7602
-0.0458738
-2.35992
-2.92187
-0.133999
-0.453611
0.81334
-1.22729
-0.445069
-1.75606
-3.21109
0.720195
-1.44146
-0.168301
2.44329
1.7963
-1.31494
0.468969
0.261642
1.24024
0.340252
-3.19539
-1.64932
0.315323
1.8521
0.264933
1.13419
1.53658
-1.8748
0.634154
0.827732
-0.497828
1.52888
-1.04542
-4.4743
-1.28624
1.35194
-0.510652
1.14727
0.719524
-0.457044
0.909646
0.129104
0.162611
-0.193507
2.45587
4.76842
-0.0737458
-1.2048
-0.728067
-0.41336
0.0261259
2.68584
-0.0390207
-0.695941
-0.230609
-1.19941
1.73125
-0.93566
0.230145
-0.697468
0.219806
0.133967
0.4504
1.49762
-0.580196
0.464743
-0.949868
-1.48684
7.34455e-05
0.680394
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0.523444
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-0.190469
1.58163
-0.52829
-0.221204
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0.436391
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2.08337
0.849215
0.463031
0.402059
-1.11688
-0.973928
0.0269437
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0.20404
0.84235
1.14443
-0.44384
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-0.245041
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0.758093
-1.08159
-0.752204
1.67723
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0.848309
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-1.17124
-0.119768
-1.00795
0.138918
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0.386049
0.798658
0.899416
2.6397
-1.01824
0.922309
0.25425
-0.168732
0.654487
0.333784
0.0199417
0.763075
0.370335
0.495945
0.522221
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0.92524
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1.84674
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0.116011
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0.448566
0.113657
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0.296654
0.440558
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1.28646
0.36218
0.73523
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0.204825
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0.154049
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0.247485
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1.18481
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1.25405
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0.235181
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0.0199939
0.21124
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0.351195
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1.07986
0.323903
0.168158
0.048009
-0.185444
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0.475136
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0.150132
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0.0525392
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0.119477
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0.199033
0.305831
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0.194595
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0.681912
0.823602
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0.114424
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0.413153
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0.281733
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0.349009
0.538259
-0.269029
-3.30295
1.12199
2.40394
-1.0886
-1.40105
-1.96371
1.95456
1.8722
1.19503
0.613557
-3.24664
-1.60781
0.963861
0.544192
0.176681
0.0033464
-0.131615
-0.205892
-0.150538
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-0.00579187
-0.047706
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0.503168
1.74449