机译:通过特征分解和记忆贝叶斯神经网络的高效计算减少
Beihang Univ Fert Beijing Res Inst BDBC Sch Microelect Beijing 100191 Peoples R China|Beihang Univ Qingdao Res Inst Beihang Goertek Joint Microelect Inst Qingdao 266101 Peoples R China;
Beihang Univ Fert Beijing Res Inst BDBC Sch Comp Sci & Engn Beijing 100191 Peoples R China;
Beihang Univ Fert Beijing Res Inst BDBC Sch Comp Sci & Engn Beijing 100191 Peoples R China;
Beihang Univ Fert Beijing Res Inst BDBC Sch Microelect Beijing 100191 Peoples R China|Beihang Univ Qingdao Res Inst Beihang Goertek Joint Microelect Inst Qingdao 266101 Peoples R China;
Delft Univ Technol Fac Elect Engn Math & Comp Sci NL-2628 CD Delft Netherlands;
Beihang Univ Fert Beijing Res Inst BDBC Sch Microelect Beijing 100191 Peoples R China|Beihang Univ Qingdao Res Inst Beihang Goertek Joint Microelect Inst Qingdao 266101 Peoples R China;
Bayesian neural network (BNN); computation reduction; feature decomposition; memory reduction;
机译:Midphynet:在神经网络中记忆腐烂物理学的拆卸,以模型动态系统
机译:基于混合高效加权遗传算法和人工神经网络的大数据机器学习特征约简
机译:基于混合高效加权遗传算法和人工神经网络的大数据机器学习特征约简
机译:使用一阶导数特征的异步采样进行降维,以进行实时和计算有效的神经尖峰排序
机译:一种有效的神经网络在线特征提取算法。
机译:通过疏有效的计算中的电感神经网络编码
机译:通过特征分解和记忆贝叶斯神经网络的高效计算减少