3-1try.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>输入节点 0</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-136.0</XPOS>
      <YPOS>-110.0</YPOS>
      <INDEX>0</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>输入节点1</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>-10.0</XPOS>
      <YPOS>-108.0</YPOS>
      <INDEX>1</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>输入节点 2</NAME>
      <WEIGHT>0.0</WEIGHT>
      <XPOS>126.0</XPOS>
      <YPOS>-107.0</YPOS>
      <INDEX>2</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>隐节点 3</NAME>
      <WEIGHT>0.03557981091499096</WEIGHT>
      <XPOS>-197.0</XPOS>
      <YPOS>35.0</YPOS>
      <INDEX>3</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>隐节点 4</NAME>
      <WEIGHT>0.1390363372949488</WEIGHT>
      <XPOS>-84.0</XPOS>
      <YPOS>42.0</YPOS>
      <INDEX>4</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>隐节点 5</NAME>
      <WEIGHT>0.057738314679667946</WEIGHT>
      <XPOS>31.0</XPOS>
      <YPOS>40.0</YPOS>
      <INDEX>5</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>隐节点 6</NAME>
      <WEIGHT>0.7185922008058185</WEIGHT>
      <XPOS>175.0</XPOS>
      <YPOS>39.0</YPOS>
      <INDEX>6</INDEX>
      <FUNCTION>sigmoid</FUNCTION>
   </NODE>
   <NODE>
      <NAME>输出 7</NAME>
      <WEIGHT>-0.027241350382137597</WEIGHT>
      <XPOS>-2.0</XPOS>
      <YPOS>184.0</YPOS>
      <INDEX>7</INDEX>
      <FUNCTION>linear</FUNCTION>
   </NODE>

   <!-- Edge Definitions -->

   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.33499004191965054</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.13077399583005422</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.10868132272625086</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>-0.6342503222459444</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.5175985996261732</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.7109256778510682</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>5</ENDINDEX>
      <WEIGHT>0.3565585161252507</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>6</ENDINDEX>
      <WEIGHT>-0.7549996631863265</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>4</ENDINDEX>
      <WEIGHT>0.5664873547100246</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>0</STARTINDEX>
      <ENDINDEX>6</ENDINDEX>
      <WEIGHT>-0.6242364315016482</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>2</STARTINDEX>
      <ENDINDEX>3</ENDINDEX>
      <WEIGHT>0.423892655456078</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>1</STARTINDEX>
      <ENDINDEX>6</ENDINDEX>
      <WEIGHT>-0.9522222362909849</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>3</STARTINDEX>
      <ENDINDEX>7</ENDINDEX>
      <WEIGHT>0.4066654260124203</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>4</STARTINDEX>
      <ENDINDEX>7</ENDINDEX>
      <WEIGHT>0.06982759689369167</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>5</STARTINDEX>
      <ENDINDEX>7</ENDINDEX>
      <WEIGHT>0.1568883863293662</WEIGHT>
   </EDGE>
   <EDGE>
      <STARTINDEX>6</STARTINDEX>
      <ENDINDEX>7</ENDINDEX>
      <WEIGHT>0.40147735769378734</WEIGHT>
   </EDGE>

</NETWORK>

<!-- No Examples Loaded -->

</DB>
</MLDBIF>