<neuralnet>
<author>Petia</author> 
<date>2010.02.12</date>
<name>Simple ANN</name>

<receiver>odin</receiver> 
<receiver>dva</receiver> 
<receiver>tri</receiver> 

<transmitter>vixod</transmitter>

<neuron name="neuron_first">
   <x>100</x>
   <y>0</y>
</neuron>

<neuron name="neuron_second">
   <x>100</x>
   <y>80</y>
</neuron>

<neuron name="neuron_third">
   <x>100</x>
   <y>-80</y>
</neuron>

<synapse name="syn_first">
   <weight>1</weight>
   <receiver>odin</receiver>
   <transmitter>neuron_first</transmitter>
</synapse>

<synapse name="syn_second">
   <weight>2</weight>
   <receiver>dva</receiver>
   <transmitter>neuron_first</transmitter>
</synapse>

<synapse name="syn_third">
   <weight>3</weight>
   <receiver>tri</receiver>
   <transmitter>neuron_first</transmitter>
</synapse>

<synapse name="syn_fourth">
   <weight>4</weight>
   <receiver>neuron_first</receiver>
   <transmitter>vixod</transmitter>
</synapse>

<synapse name="syn_fifth">
   <weight>2</weight>
   <receiver>dva</receiver>
   <transmitter>neuron_second</transmitter>
</synapse>

<synapse name="syn_sixt">
   <weight>1</weight>
   <receiver>neuron_first</receiver>
   <transmitter>neuron_second</transmitter>
</synapse>

<synapse name="syn_7">
   <weight>4</weight>
   <receiver>neuron_third</receiver>
   <transmitter>vixod</transmitter>
</synapse>
</neuralnet> 

