机译:冗余通道上人工神经网络的H-无穷状态估计
Univ Shanghai Sci & Technol, Engn Res Ctr Opt Instrument & Syst, Minist Educ, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China;
Univ Shanghai Sci & Technol, Engn Res Ctr Opt Instrument & Syst, Minist Educ, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China;
Univ Shanghai Sci & Technol, Engn Res Ctr Opt Instrument & Syst, Minist Educ, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China;
Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China|King Abdulaziz Univ, Commun Syst & Networks CSN Res Grp, Fac Engn, Jeddah 21589, Saudi Arabia;
King Abdulaziz Univ, Commun Syst & Networks CSN Res Grp, Fac Engn, Jeddah 21589, Saudi Arabia;
H-infinity state estimator; Artificial neural networks; Infinite distributed delays; Redundant channels;
机译:H-Infinity通过衰落频道随机发生的分布式延迟和随机发生的不确定性的离散时间神经网络估计
机译:具有(x,v)依赖噪声和衰落通道的延迟神经网络的依赖于延迟分布的H无穷状态估计
机译:延迟分布依赖于延迟神经网络的H-Infinity估计(X,V) - 依存噪声和衰落频道
机译:基于人工神经网络的电力线通信信道脉冲噪声参数估计
机译:使用人工神经网络的硬件冗余系统信号验证。
机译:人工神经网络在高密度聚乙烯估计中的应用
机译:用于下行链路LTE-EVANCE系统的智能MIMO信道估计的遗传算法训练的人工神经网络