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trained-minor.data
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trained-minor.data
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<?xml version="1.0" ?>
<PyBrain>
<Network class="pybrain.structure.networks.feedforward.FeedForwardNetwork" name="FeedForwardNetwork-28">
<name val="'FeedForwardNetwork-28'"/>
<Modules>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" inmodule="True" name="LinearLayer-21">
<dim val="4"/>
</LinearLayer>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" name="LinearLayer-29" outmodule="True">
<dim val="1"/>
</LinearLayer>
<BiasUnit class="pybrain.structure.modules.biasunit.BiasUnit" name="BiasUnit-22"/>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-30">
<dim val="25"/>
</SigmoidLayer>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-31">
<dim val="5"/>
</SigmoidLayer>
</Modules>
<Connections>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-24">
<inmod val="BiasUnit-22"/>
<outmod val="SigmoidLayer-30"/>
<Parameters>[-0.27757849863287576, 0.89462522287731849, -2.689211125935913, 1.7931538313802828, 0.44631792670930859, -1.7580920225984042, 0.068377375536191137, -0.32685680778238929, -0.10084004347691786, -0.99265467171085808, 0.4193611013214818, 2.2506067481192322, 0.64918213261675628, 1.2812951992447217, -0.9556377802525704, -0.44342837352222603, -0.78181589110638872, -2.6657603555567642, -4.1137813722577121, -4.1452685786158119, -2.3001706824264088, 0.1788880090215681, -2.8748218577234077, 0.42184938540879335, -3.4561823594280869]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-25">
<inmod val="BiasUnit-22"/>
<outmod val="SigmoidLayer-31"/>
<Parameters>[0.68808590618888155, 0.50008370045485384, -0.38647643144877686, 1.1460453005059743, -0.9100732421869806]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-27">
<inmod val="LinearLayer-21"/>
<outmod val="SigmoidLayer-30"/>
<Parameters>[0.30172534663571476, -1.1370612999845757, 0.9072835993564935, -1.0888009171275617, 0.29998061384315389, -0.94758390159112293, 3.8231149690163773, -0.67734599534538376, 0.048184585133999543, -1.4354812038544289, 0.53264875217192531, -0.83704087504124758, 1.7190230271958129, -1.2072542579559806, 1.169472591826459, 0.9438201304054934, 0.0023050883637727297, 1.1051845076402171, -1.2264011662743814, 2.2130755821917623, 1.9636758337059925, 2.1037203762456165, -0.11214373243265287, 0.11279332719146495, 0.01944940874565259, -2.0415689309666822, 1.7690301346637891, 2.2420802547858476, 1.1516342997910065, 0.58970449906734423, 2.2736935560307554, -1.1557038965049764, 0.62804408212173357, -1.5658076606988884, 1.2399778309800313, -1.3980347886229707, 0.10593111123225106, 1.4489478693935751, -1.3411184501240212, 1.261275583763803, -2.0704641875013698, 0.15398184399244705, 1.8203317116527256, 1.1211492631779421, 0.32828716276016012, 0.18617650335220584, 0.32673614711328097, 0.65020185403654196, -0.43395737359950781, -1.6345269460652672, -0.018664481472147658, -0.044322672356736162, 0.86024697349119716, 1.753047577127314, -1.332856930144797, 0.35492122295953604, -0.82389114340460101, -1.2688335607464365, -0.53986114395052609, -0.41936376502696093, -2.2213976683483687, -0.36075818975500662, 0.74748278771381615, -1.746154926731879, -0.91043300971539198, -0.050217473015320944, -0.76100097579817316, 0.35598872933835318, 0.11565054971324208, 0.82599716284511715, 0.69810680303644712, 0.95066566476736658, -1.1901126544506044, -0.52061178778484796, 2.0528019662515233, 0.368658936412606, 0.16201279810648331, -1.2318153922268751, 1.5640075952518322, 0.45715879070567311, -1.5028911389007396, -0.045197085032660081, -1.2242455063638746, 1.9118954717336296, -1.5395342253544415, -1.7412706686160659, -1.02028336944027, 0.98174939639278946, 1.3945989177313303, -0.64216693071650943, -0.95821893172463468, 0.33744595522933751, -0.31013592283595171, -1.776657032981876, -1.1209975725046719, 0.99538891577170319, -0.083029676083351628, 0.77117007978423502, -1.0749762117313999, 0.095435134286963708]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-23">
<inmod val="SigmoidLayer-30"/>
<outmod val="SigmoidLayer-31"/>
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</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-26">
<inmod val="SigmoidLayer-31"/>
<outmod val="LinearLayer-29"/>
<Parameters>[2.3917170645256101, 5.3850394531580719, 2.9760830276183881, -4.2219682903119979, 3.4291630765553065]</Parameters>
</FullConnection>
</Connections>
</Network>
</PyBrain>