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

Method         : MLP::NeuralNetwork
TMVA Release   : 3.8.13        [198669]
ROOT Release   : 5.18/00       [332288]
Creator        : lista
Date           : Mon Feb  9 12:48:27 2009
Host           : Linux lxbuild063.cern.ch 2.6.9-78.0.1.EL.cernsmp #1 SMP Tue Aug 5 11:01:13 CEST 2008 i686 i686 i386 GNU/Linux
Dir            : /data1/home/lista/stat/03-TMVA
Training events: 200000


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
Normalise: "True" [Normalise input variables]
NCycles: "200" [Number of training cycles]
HiddenLayers: "N+2,N" [Specification of hidden layer architecture]
NeuronInputType: "sum" [Neuron input function type]
LearningRate: "0.02" [ANN learning rate parameter]
DecayRate: "0.01" [Decay rate for learning parameter]
# Default:
D: "False" [use-decorrelated-variables flag (depreciated)]
VarTransform: "None" [Variable transformation method]
VarTransformType: "Signal" [Use signal or background events for var transform]
NbinsMVAPdf: "60" [Number of bins used to create MVA PDF]
NsmoothMVAPdf: "2" [Number of smoothing iterations for MVA PDF]
V: "False" [Verbose mode]
VerboseLevel: "Info" [Verbosity level]
H: "False" [Print classifier-specific help message]
CreateMVAPdfs: "False" [Create PDFs for classifier outputs]
TxtWeightFilesOnly: "True" [if True, write all weights as text files]
NeuronType: "tanh" [Neuron activation function type]
TrainingMethod: "BP" [Train with Back-Propagation (BP - default) or Genetic Algorithm (GA - slower and worse)]
TestRate: "10" [Test for overtraining performed at each #th epochs]
BPMode: "sequential" [Back-propagation learning mode: sequential or batch]
BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 2
x                             x                                 'F'    [-25.9051780701,28.9163246155]
y                             y                                 'F'    [-10.0186662674,11.3229227066]


#MAT -*-*-*-*-*-*-*-*-* transformation data -*-*-*-*-*-*-*-*-*-


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

Weights
(layer0,neuron0)-(layer1,neuron0): -0.213524276775
(layer0,neuron0)-(layer1,neuron1): 3.66016148829
(layer0,neuron0)-(layer1,neuron2): 6.94936422634
(layer0,neuron0)-(layer1,neuron3): -0.873220328299
(layer0,neuron1)-(layer1,neuron0): -5.64740983296
(layer0,neuron1)-(layer1,neuron1): -2.52130036188
(layer0,neuron1)-(layer1,neuron2): -2.09138202692
(layer0,neuron1)-(layer1,neuron3): 6.23634121296
(layer0,neuron2)-(layer1,neuron0): -2.86931384972
(layer0,neuron2)-(layer1,neuron1): 0.176818000339
(layer0,neuron2)-(layer1,neuron2): -4.4619554297
(layer0,neuron2)-(layer1,neuron3): -2.1920753237
(layer1,neuron0)-(layer2,neuron0): -3.24202661857
(layer1,neuron0)-(layer2,neuron1): -6.42336280668
(layer1,neuron1)-(layer2,neuron0): 3.5589540949
(layer1,neuron1)-(layer2,neuron1): 0.211259999298
(layer1,neuron2)-(layer2,neuron0): -2.39318300064
(layer1,neuron2)-(layer2,neuron1): 2.57236328003
(layer1,neuron3)-(layer2,neuron0): 3.12561144474
(layer1,neuron3)-(layer2,neuron1): 0.116945694087
(layer1,neuron4)-(layer2,neuron0): -2.96275660967
(layer1,neuron4)-(layer2,neuron1): -3.85859065675
(layer2,neuron0)-(layer3,neuron0): 1.02187175199
(layer2,neuron1)-(layer3,neuron0): -0.106384209855
(layer2,neuron2)-(layer3,neuron0): -0.0220788944598