booleanunlearned.xml

来自「人工智能§神经网络模拟软件§java环境开发」· XML 代码 · 共 131 行

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

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

   <!-- Node Definitions -->

   <NODE>
      <NAME>Input 1</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-121.04071</XPOS>
      <YPOS>-91.9425</YPOS>
      <INDEX>0</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Input 2</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>118.37389</XPOS>
      <YPOS>-90.12185</YPOS>
      <INDEX>1</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Output (and)</NAME>
      <WEIGHT>0.1</WEIGHT>
      <XPOS>-184.50099</XPOS>
      <YPOS>91.16629</YPOS>
      <INDEX>2</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Output (or)</NAME>
      <WEIGHT>0.2</WEIGHT>
      <XPOS>2.7630477</XPOS>
      <YPOS>91.9425</YPOS>
      <INDEX>3</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>Output (nor)</NAME>
      <WEIGHT>0.3</WEIGHT>
      <XPOS>185.50098</XPOS>
      <YPOS>91.16629</YPOS>
      <INDEX>4</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>

   <!-- Edge Definitions -->

   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>2</ENDINDEX>
      <WEIGHT>0.4</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.1</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.2</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>2</ENDINDEX>
      <WEIGHT>0.3</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.4</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.5</WEIGHT>
   </EDGE>

</NETWORK>

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

   <!-- Parameter Definition -->
   <PARAMETER type="input">Input 1</PARAMETER>
   <PARAMETER type="input">Input 2</PARAMETER>
   <PARAMETER type="output">Output (and)</PARAMETER>
   <PARAMETER type="output">Output (or)</PARAMETER>
   <PARAMETER type="output">Output (nor)</PARAMETER>

   <!-- Examples -->
   <EXAMPLE type="training">
      <VALUE parameter="Input 1">0.0</VALUE>
      <VALUE parameter="Input 2">0.0</VALUE>
      <VALUE parameter="Output (and)">0.0</VALUE>
      <VALUE parameter="Output (or)">0.0</VALUE>
      <VALUE parameter="Output (nor)">1.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Input 1">0.0</VALUE>
      <VALUE parameter="Input 2">1.0</VALUE>
      <VALUE parameter="Output (and)">0.0</VALUE>
      <VALUE parameter="Output (or)">1.0</VALUE>
      <VALUE parameter="Output (nor)">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Input 1">1.0</VALUE>
      <VALUE parameter="Input 2">0.0</VALUE>
      <VALUE parameter="Output (and)">0.0</VALUE>
      <VALUE parameter="Output (or)">1.0</VALUE>
      <VALUE parameter="Output (nor)">0.0</VALUE>
   </EXAMPLE>
   <EXAMPLE type="training">
      <VALUE parameter="Input 1">1.0</VALUE>
      <VALUE parameter="Input 2">1.0</VALUE>
      <VALUE parameter="Output (and)">1.0</VALUE>
      <VALUE parameter="Output (or)">1.0</VALUE>
      <VALUE parameter="Output (nor)">0.0</VALUE>
   </EXAMPLE>
</EXAMPLES>

</DB>
</MLDBIF>