位置：成果数据库 > 期刊 > 期刊详情页
Stochastic information gradient algorithm based on maximum entropy density estimation
  • ISSN号：1881-803X
  • 期刊名称：Icic Express Letters
  • 时间：0
  • 页码：1141-1145
  • 相关项目：基于误差熵准则非线性系统参数辨识算法研究
作者： Chen, Badong1|Zhu, Yu1|Hu, Jinchun1|Zhang, Ming1|
同期刊论文项目
基于误差熵准则非线性系统参数辨识算法研究
期刊论文 17
同项目期刊论文
Maximum Correntropy Estimation Is a Smoothed MAP Estimation
Mean square convergence analysis for kernel least mean square algorithm
Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion
ADAPTIVE FILTERING WITH ADAPTIVE p-POWER ERROR CRITERION
Survival Information Potential: A New Criterion for Adaptive System Training
Stochastic gradient identification of Wiener system with maximum mutual information criterion
Laplacian kernel based sig algorithm for fir filtering in the presence ofalpha-stable noise
A new interpretation on the MMSE as a robust MEE criterion
On optimal estimations with minimum error entropy criterion
A Variable Step-Size SIG Algorithm for Realizing the Optimal Adaptive FIR Filter
Analysis and Optimization of a New 2-D Magnet Array for Planar Motor
Delta-Entropy: Definition, properties and applications in system identification with quantized data
STOCHASTIC INFORMATION GRADIENT ALGORITHM WITH GENERALIZED GAUSSIAN DISTRIBUTION MODEL
Some Further Results on the Minimum Error Entropy Estimation
On the Smoothed Minimum Error Entropy Criterion
超精密机械结构多目标拓扑优化设计