xor_test.xml

也是遗传算法的源代码

<?xml version="1.0"?>
<!DOCTYPE network 
  SYSTEM "dtd/amygdala.dtd">
<network title="Amygdala Spiking Network Data File" version="0.4" size="9">
  <layer id="1" name="XOR Input" type="input" size="2" learningConst="0.001000" membraneTimeConst="10.000000" synapticTimeConst="2.000000" thresholdPotential="5.000000">
    <neuron type="BasicNeuron" id="1">
      <weight outputId="3" value="1.0"/>
      <weight outputId="4" value="1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="2">
      <weight outputId="5" value="1.0"/>
      <weight outputId="6" value="1.0"/>
    </neuron>
  </layer>
  <layer id="2" name="XOR Hidden" type="hidden" size="6" learningConst="0.001000" membraneTimeConst="10.000000" synapticTimeConst="2.000000" thresholdPotential="5.000000">
    <neuron type="BasicNeuron" id="3">
      <weight outputId="7" value="1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="4">
      <weight outputId="8" value="-1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="5">
      <weight outputId="7" value="-1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="6">
      <weight outputId="8" value="1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="7">
      <weight outputId="9" value="1.0"/>
    </neuron>
    <neuron type="BasicNeuron" id="8">
      <weight outputId="9" value="1.0"/>
    </neuron>
  </layer>
  <layer id="3" name="XOR Output" type="output" size="1" learningConst="0.001000" membraneTimeConst="10.000000" synapticTimeConst="2.000000" thresholdPotential="5.000000">
    <neuron type="BasicNeuron" id="9"/>
  </layer>
</network>