• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Adaptive Control and Signal Processing >Transient performance analysis of adaptive multitask network based on correntropy criterion
【24h】

Transient performance analysis of adaptive multitask network based on correntropy criterion

机译：基于熵准则的自适应多任务网络暂态性能分析。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we investigate the transient performance of the proposed distributed multitask learning algorithm that is developed based on maximum correntropy criterion. In the first stage, we derive the proposed multitask learning algorithm in which the correntropy-based combination matrix determines which sensors should collaborate together and which sensors should stop the collaboration. In the second stage, according to the variance relation of the error vector, we derive a closed-form relation that shows the transition of mean-square-deviation learning performance. We also find the lower and upper bounds of the step size that ensure the stability of the multitask learning algorithm. The theoretical finding of the transient performance is shown to fit a well match with simulation results.
机译：在本文中，我们研究了基于最大熵准则开发的分布式多任务学习算法的瞬时性能。在第一阶段，我们推导了提出的多任务学习算法，其中基于熵的组合矩阵确定了哪些传感器应该一起协作，哪些传感器应该停止协作。在第二阶段，根据误差向量的方差关系，我们得出了一个封闭形式的关系，该关系显示了均方差学习性能的转变。我们还找到了确保多任务学习算法稳定的步长的上限和下限。瞬态性能的理论发现表明与仿真结果非常吻合。

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