期刊文献+

The Complexity of Recognition in the Single-Layered PLN Network with Feedback Connections 被引量:1

The Complexity of Recognition in the Single-Layered PLN Network with Feedback Connections
原文传递
导出
摘要 Regarding a single-layered PLN network with feedback connections as an associative memory network,the complexity of recognition is discussed.We have the main result:if the size of the network N is m,then the complexity of recognition is an exponential function of m.The necessary condition under which the complexity of recognition is polynomial is given. Regarding a single-layered PLN network with feedback connections as an associative memory network,the complexity of recognition is discussed.We have the main result:if the size of the network N is m,then the complexity of recognition is an exponential function of m.The necessary condition under which the complexity of recognition is polynomial is given.
作者 张钹 张铃
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 1993年第4期317-321,共5页 计算机科学技术学报(英文版)
关键词 PLN network stable state associative memory network Markov chain transition matrix complexity of recognition PLN network stable state associative memory network Markov chain transition matrix complexity of recognition
  • 相关文献

参考文献2

  • 1张钹,Neural Networks,1992年,5卷,4期,639页
  • 2张钹,1991年

同被引文献11

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部