mailreadingunlearned2.xml

人工智能§神经网络模拟软件§java环境开发

<?xml version="1.0" ?>
<MLDBIF>
<DB>

<!-- Neural Network Definition -->
<NETWORK>

   <!-- Node Definitions -->

   <NODE>
      <NAME>Known</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-201.50002</XPOS>
      <YPOS>-94.66358</YPOS>
      <INDEX>0</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>New</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-2.7065136</XPOS>
      <YPOS>-195.95361</YPOS>
      <INDEX>1</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Short</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>206.50002</XPOS>
      <YPOS>-101.29004</YPOS>
      <INDEX>2</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Hidden 1</NAME>
      <WEIGHT>0.9663698368019735</WEIGHT>
      <XPOS>135.50232</XPOS>
      <YPOS>52.064972</YPOS>
      <INDEX>3</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Hidden 2</NAME>
      <WEIGHT>-0.2113774922587639</WEIGHT>
      <XPOS>-133.34227</XPOS>
      <YPOS>53.011612</YPOS>
      <INDEX>4</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Reads</NAME>
      <WEIGHT>-0.3675341668306724</WEIGHT>
      <XPOS>1.0800296</XPOS>
      <YPOS>195.95361</YPOS>
      <INDEX>5</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>

   <!-- Edge Definitions -->

   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>-0.3274408874947441</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>-0.10017087995778962</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.7608631877525809</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.8902755887462905</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.9902708903956567</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.7633270140994686</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>3</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.9838576368004912</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>4</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>0.5653261597871284</WEIGHT>
   </EDGE>

</NETWORK>

<!-- Example Database -->
<EXAMPLES>

   <!-- Parameter Definition -->
   <PARAMETER type="input">Known</PARAMETER>
   <PARAMETER type="input">New</PARAMETER>
   <PARAMETER type="input">Short</PARAMETER>
   <PARAMETER type="output">Reads</PARAMETER>

   <!-- Examples -->
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">0.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">0.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">0.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">0.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">0.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">0.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">0.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Known">1.0</VALUE>
      <VALUE parameter="New">1.0</VALUE>
      <VALUE parameter="Short">1.0</VALUE>
      <VALUE parameter="Reads">1.0</VALUE>
   </EXAMPLE>
</EXAMPLES>

</DB>
</MLDBIF>