ass12b.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>bought</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-198.26971</XPOS>
      <YPOS>-83.76611</YPOS>
      <INDEX>0</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>edu</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-57.79237</XPOS>
      <YPOS>-215.91887</YPOS>
      <INDEX>1</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>first</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>75.400955</XPOS>
      <YPOS>-218.00002</YPOS>
      <INDEX>2</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>visited</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>200.26971</XPOS>
      <YPOS>-85.84725</YPOS>
      <INDEX>3</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>hidden 1</NAME>
      <WEIGHT>0.3</WEIGHT>
      <XPOS>-133.7542</XPOS>
      <YPOS>113.94273</YPOS>
      <INDEX>4</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>hidden</NAME>
      <WEIGHT>0.4</WEIGHT>
      <XPOS>153.44391</XPOS>
      <YPOS>110.82102</YPOS>
      <INDEX>5</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>more_info</NAME>
      <WEIGHT>0.5</WEIGHT>
      <XPOS>8.804293</XPOS>
      <YPOS>218.00002</YPOS>
      <INDEX>6</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>

   <!-- Edge Definitions -->

   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.1</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.2</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.3</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.4</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.5</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.6</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>3</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.7</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>3</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.8</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>4</STARTINDEX>
      <ENDINDEX>6</ENDINDEX>
      <WEIGHT>0.9</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>5</STARTINDEX>
      <ENDINDEX>6</ENDINDEX>
      <WEIGHT>-1.0</WEIGHT>
   </EDGE>

</NETWORK>

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

   <!-- Parameter Definition -->
   <PARAMETER type="input">bought</PARAMETER>
   <PARAMETER type="input">edu</PARAMETER>
   <PARAMETER type="input">first</PARAMETER>
   <PARAMETER type="input">visited</PARAMETER>
   <PARAMETER type="output">more_info</PARAMETER>

   <!-- Examples -->
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">1.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">1.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">1.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">1.0</VALUE>
      <VALUE parameter="more_info">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">1.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">1.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">1.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">1.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">1.0</VALUE>
      <VALUE parameter="more_info">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">1.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">1.0</VALUE>
      <VALUE parameter="edu">1.0</VALUE>
      <VALUE parameter="first">1.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">1.0</VALUE>
      <VALUE parameter="edu">1.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">1.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="bought">0.0</VALUE>
      <VALUE parameter="edu">0.0</VALUE>
      <VALUE parameter="first">0.0</VALUE>
      <VALUE parameter="visited">0.0</VALUE>
      <VALUE parameter="more_info">1.0</VALUE>
   </EXAMPLE>
</EXAMPLES>

</DB>
</MLDBIF>