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trained.data
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trained.data
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<?xml version="1.0" ?>
<PyBrain>
<Network class="pybrain.structure.networks.feedforward.FeedForwardNetwork" name="FeedForwardNetwork-12">
<name val="'FeedForwardNetwork-12'"/>
<Modules>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" inmodule="True" name="LinearLayer-5">
<dim val="4"/>
</LinearLayer>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" name="LinearLayer-13" outmodule="True">
<dim val="1"/>
</LinearLayer>
<BiasUnit class="pybrain.structure.modules.biasunit.BiasUnit" name="BiasUnit-6"/>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-14">
<dim val="25"/>
</SigmoidLayer>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-15">
<dim val="5"/>
</SigmoidLayer>
</Modules>
<Connections>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-10">
<inmod val="BiasUnit-6"/>
<outmod val="SigmoidLayer-15"/>
<Parameters>[0.91352779751579438, 0.03304337760670642, -0.26926034195629672, 0.44299720370555379, 0.62463780807779734]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-9">
<inmod val="BiasUnit-6"/>
<outmod val="SigmoidLayer-14"/>
<Parameters>[-0.34116017216715211, 0.13328435479888048, 2.0879066921075387, -0.35060327392971086, 1.8612091924647272, 0.4279090906775056, 1.2312229296250983, -2.111348954290825, -1.0132671034947436, 2.111558157668544, 1.9852247163358525, 0.15315213493030003, 0.019877233225535768, -0.30352370219061847, -0.19782263377660095, 0.7408641847032793, -0.63923387801111486, 1.4683183888279927, -0.09167695613711023, 0.8621881990369562, 1.1106212644765476, 1.8933377460757765, -0.99288844734347692, 0.032960122653267018, 1.4433508430817479]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-7">
<inmod val="LinearLayer-5"/>
<outmod val="SigmoidLayer-14"/>
<Parameters>[1.5862880863001885, -1.0516058940648021, -1.3218827347636932, -0.69613027096033986, -1.1405391924615913, -1.1651569203140533, 0.25546052900082133, -0.71314676199900817, -0.92761736121978877, -1.1064357057967655, 1.2492089932586734, -1.4350261923888319, -1.1807773952411322, 1.3034986317112089, 0.96796115756931722, 1.3390491027222453, -1.3545254830176012, 0.23114060563608721, -2.2494122824119622, 2.1752555702329581, 2.7496852412799058, -0.34706397261947181, 0.42350492615886604, -0.49150318406971966, -0.25112061308849731, -0.53264657590293618, -0.4361405095531401, 2.1681941113469025, 1.5142822237986664, -0.27295224332936474, 1.5956981045485725, 0.12060798585902507, 0.29616316792141001, 1.10644269360728, 0.41774647945251914, 1.4864216124134053, -0.53235684502476932, -0.78620237074017862, -0.040004460288733799, -0.37950652858849732, -3.3054462290082083, 0.343975348536736, -0.34977707069224656, 0.12567673594398868, 0.56460374772416133, 1.8365340933553669, 0.91166024504511389, -0.48884877439009067, 1.1178269552739577, 0.24125266791230554, -2.1970859230893587, 0.12574728026421683, 1.0497624855763206, -0.72675080720245189, -1.0572338379815773, 1.1245839761403889, -0.32376947208721946, 1.4029294911713728, 0.65438148230614523, 0.31971621036081338, 0.35863063333574913, 0.522057685019781, 2.1645229475037251, -0.3996062444514446, -0.6930717971595699, -0.22700648969196366, 2.5427902304752448, 0.3379697722497787, -2.0233540818427884, -0.21087159494972901, -0.34472251067248855, 0.21135733522923089, 0.18050667383237831, -1.108446593048793, -1.100130210546026, -0.91109664185045436, -1.1110458284895488, -1.6008166272658897, 0.87987057315708472, -0.23482465470906688, 0.61103573489956386, -0.64736463786613618, -1.7825371057551895, -0.42116940630977645, -1.2287488645993838, -0.28328713499957614, 0.9881824970507439, 0.14877728067509779, -0.94112372938737343, -3.2041964817998028, 1.0285833437170904, 0.25022077033297108, -0.521859945465598, -2.2587124189274288, 1.7272551193949615, 1.5020260180854337, -0.76410127431540087, -1.6059979017759214, -0.94319805101364951, -0.36906167068780582]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-8">
<inmod val="SigmoidLayer-14"/>
<outmod val="SigmoidLayer-15"/>
<Parameters>[-1.5958821397189471, -0.46260671719645147, -1.2967585899409804, 0.96760164487388456, 0.57669034166561239, 0.97112735442690645, -2.9918622972298126, 1.0493566971851773, 0.54801745399710833, -2.3779963543955964, -1.4237084042784607, -0.32055949976615372, -0.24688033572556345, -0.47530816825994249, -0.15906919885806603, 1.1150995065396356, 1.0665146298889319, -0.95790809573446711, 1.3074458735606667, -0.14873964063088377, -1.2438816840426759, 1.0300790617547337, -1.6164895419077081, -0.75683393880784311, -0.6260817407027538, -1.2467736567668344, -0.040510565763794262, -1.3110751090706241, 0.19173708811163379, 1.8932099550647143, -1.7600589273236364, 0.82630907291048894, -1.5380137657648316, 1.8729183828116502, -0.14788563201687949, -0.028126378009367826, -0.77566511575242458, 2.3045747648787951, -0.65370313037695549, -0.74631594764327358, 0.31778614587323784, 1.4149881640046211, -0.3337429633668843, -0.81451243261778927, 2.3575624595912101, -1.4230803856842469, -0.68629304909096833, 1.0589753103895492, 1.6216148946890714, 0.27924079237174393, -1.4812016688790386, 2.2949451524949112, 0.60280715529810025, -0.00153890035220401, 0.9586834062703834, 0.56937286356308858, 0.00053240000516631316, -0.3558343539777189, -0.17666820482895171, 1.5245450359396688, 0.37799210500260932, 1.2635737439333823, -0.30499458999635626, -1.2709696901820959, -0.14675510455886742, 0.61924348747622726, -0.25131404684463071, 0.93701111949495497, 1.3758048562632332, -0.26973332538310518, 0.55186118264249762, -0.30904618149479679, -0.43963688810074503, -0.80932495000901061, -0.47849134347790173, 0.17348121486214912, 2.105029368261174, -2.1805947110216355, 0.27400356384848301, 0.31448152310975402, 0.84803326018103786, 1.4077172175674793, -0.32631129980241569, -1.10159794207996, 2.2151848013014019, -1.071567891396934, -1.711672025853022, -0.48031138759490483, 1.767763444012624, -1.5305629778092447, 0.99222904321570904, 0.082593632259703925, 0.29856898520714259, 0.68426984605240337, -0.50194603640218871, -0.20650154313365299, -0.90192187416113057, -2.7540254676574296, 1.626553191391978, 1.6356906756808267, 0.573479672778901, -0.48982926643718111, 0.69245875776963106, -0.80204482513958208, 0.20047906117109901, 0.59678925234023761, 1.4697493532114325, 0.20872529281653415, 0.14102171815111636, 0.27973764185933847, 1.1274134881106603, -0.67523906418403679, 1.200701544374241, -1.9581539941386317, -0.65806055834141053, -0.14123076515301866, -1.5470181984670195, 1.7518997516811259, -0.75465319296585331, 0.65135927282250083, 2.0017008878267988, 1.2060696535223669, 0.67483417206668816, -0.80184333096373317, 0.55983153147252451]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-11">
<inmod val="SigmoidLayer-15"/>
<outmod val="LinearLayer-13"/>
<Parameters>[2.9150351325316319, 3.3156473603482137, -1.1755700293151412, 2.6301500959489346, -1.6287679338086229]</Parameters>
</FullConnection>
</Connections>
</Network>
</PyBrain>