首页> 外文会议>International Workshop on Fuzzy Logic and Applications >The Genetic Development of Uninorm-Based Neurons
【24h】

The Genetic Development of Uninorm-Based Neurons

机译:不泛规型神经元的遗传发展

获取原文

摘要

In this study, we are concerned with a new category of logic connectives and logic neurons based on the concept of uninorms. Uninorms are a generalization of t-norms and t-conorms used for composing fuzzy sets. We discuss the development of such constructs by using genetic algorithms. In this way we optimize a suite of parameters encountered in uninorms, especially their identity element. In the sequel, we introduce a class of logic neurons based on uninorms (which will be refereed to as unineurons). The learning issues of the neurons are presented and some experimental results obtained for synthetic and benchmark data are reported.
机译:在这项研究中,我们涉及一种基于非ordorms概念的新类别的逻辑连接和逻辑神经元。 UnInorms是用于组成模糊集的T-NARMS和T-Conorm的概括。我们通过使用遗传算法讨论这些构建体的开发。通过这种方式,我们优化在不共同中遇到的一套参数,尤其是它们的身份元素。在续集中,我们介绍了一类基于不一致的逻辑神经元(这将被归因于Unineurons)。提出了神经元的学习问题,并报告了用于合成和基准数据的一些实验结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号