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

Method : TMlpANN
Creator: cafuser6
Date   : Thu Feb  1 03:29:20 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: 49042


#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'    [20.0801,439.104]
                        LepBEn                        LepBEn    'F'    [10.0113,469.956]
                       dilmass                       dilmass    'F'    [16.001,658.809]
                        metmag                        metmag    'F'    [0.0479105,248.645]
                         addEt                         addEt    'F'    [36.1846,622.312]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [7.15434e-06,3.13896]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,82.7415]
                       jet2_Et                       jet2_Et    'F'    [0,43.8047]
                       dildphi                       dildphi    'F'    [0.000433306,3.14153]
                          lepR                          lepR    'F'    [0.338538,4.18507]
                        metsig                        metsig    'F'    [0.00413108,15.0071]


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

#input normalization
23.136 58.4851
18.1035 41.0707
34.6459 79.153
14.518 39.0456
30.3017 126.789
0.561602 1.65334
0.392346 0.138718
9.57421 3.31689
2.68876 0.344641
0.708258 2.09137
0.607753 2.22448
1.26453 3.56688
#output normalization
1 0
#neurons weights
0.023639
-0.304401
0.277732
-0.180863
0.182965
0.0299466
0.0113155
0.0616869
0.202976
-0.437533
0.466901
-0.248122
-0.51744
-3.17585
-2.24165
1.96282
0.157785
0.491767
0.161449
1.07376
0.76487
0.171417
0.194479
-0.277233
-0.498352
-0.722302
0.224975
0.606526
-0.195226
-1.48378
0.424519
-0.246551
-0.213148
0.291336
-0.407907
-0.463628
-0.223403
-1.48173
#synapses weights
0.248029
0.707833
3.30161
0.207184
1.80648
0.298276
-0.123547
-0.132219
0.208138
-1.32945
1.08112
-0.100025
0.160427
-0.181132
3.54601
0.150332
4.68326
-0.242113
0.227692
-0.486161
-0.285081
-1.83837
0.634629
1.11004
0.69973
-0.0845832
1.30239
-0.0699914
1.73673
-0.506042
-0.0563162
0.0738249
-0.166248
-0.174179
0.566007
-0.0557638
0.133112
0.105645
-0.720717
-3.2688
0.172477
-0.206816
0.0768517
0.193496
0.152125
0.274541
0.00243995
3.79319
-0.859848
-0.0966197
-0.103481
0.403403
0.412389
0.335827
-0.469263
-0.507798
0.153792
-0.191707
0.351241
-0.833091
0.739157
-0.868811
-0.478707
0.567893
1.51737
-1.28176
0.0266971
-0.568187
0.245206
0.421219
-0.322621
0.756477
-0.174377
-0.0705447
-0.0403293
-0.214632
0.351369
-0.714723
0.0148806
0.493096
-0.100958
-0.744716
-0.389419
0.996139
0.0275396
-0.30811
-2.73673
0.593527
0.501072
-0.171244
0.512535
0.0370998
-0.263181
-0.490632
0.0330603
-0.213588
-0.439133
-0.473597
-0.0606116
0.978429
-1.19018
-0.12931
0.238564
0.0410123
0.186493
0.985678
0.0935429
1.3262
-0.497507
0.597036
0.77553
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1.14815
-1.40439
0.900595
1.30249
0.259939
-1.47531
-0.700033
-0.999039
-0.37126
0.530935
-0.6264
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1.07611
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-0.0939556
0.518909
-0.964684
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0.262778
-0.161408
0.786597
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0.453043
0.0148311
0.51449
0.304207
-0.646705
0.651935
-0.440927
0.23138
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0.740924
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0.58258
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0.709468
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1.2669
0.100333
1.08444
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1.2759
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0.280135
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0.343112
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0.299452
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0.207917
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0.651522
0.962862
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0.303651
0.526222
-0.197924
0.282658
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0.703112
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0.518499
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0.448113
1.08179
0.478548
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0.336139
0.425505
0.0607394
0.0366032
0.344914
0.0011143
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0.0388835
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1.9357
0.203788
0.0934541
0.233374
0.713275
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0.783592
0.505296
-1.52743
-0.727209
0.9996
0.730158
0.1911
0.443898
0.193606
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0.351012
-0.255
0.0570114
0.0562136
-0.278078
0.155529
0.0127895
0.955974
2.02786
1.33501
0.427064
0.611792
-0.292714
0.0351002
0.448514
0.686456
0.0543436
0.218381
-0.603083
0.305022
0.160545
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-0.489185
0.192976
0.648958
0.208753
0.197418
-0.113819
-0.246766
0.379249
-0.163327
0.323172
0.216735
0.419083
0.0321177
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0.085046
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0.275937
0.260408
0.317814
0.108397
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0.38048
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0.000681306
0.200644
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0.0495715
0.0393646
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-0.448635
-0.63671
-0.119689
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0.327863
0.260559
-0.261533
0.211003
-0.636574
0.136105
0.0278385
-0.379154
0.191858
0.369243
0.00191209
0.224033
0.0517478
-0.396576
-0.182276
0.359883
0.017143
0.136728
-0.0735679
0.976633
-0.352423
0.18914
0.112072
1.53605
0.471559
1.07356
-0.284952
0.120037
0.266526
-0.777273
-0.373225