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机译:具有平滑L_(1/2)正则化惩罚的前馈神经网络在线梯度方法的收敛性
School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, PR China,Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, USA;
Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, USA,Spoleczna Akademia Nauk, 90-011 Lodz, Poland;
School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, PR China;
Feedforward neural networks; Online gradient method; Smoothing L_(1/2) regularization; Boundedness; Convergence;
机译:线性输出前馈神经网络惩罚性在线梯度法的有界性和收敛性
机译:前馈神经网络惩罚性在线梯度法的有界性和收敛性
机译:具有随机输入的前馈神经网络的带有惩罚性术语的在线梯度法的收敛性
机译:惩罚术语Pi-Sigma神经网络在线梯度方法的收敛性
机译:基于前馈神经网络的仪器的校准传递方法。
机译:具有平滑正则化和自适应动量的神经网络批次梯度学习的收敛性
机译:多输出前馈神经网络内部处罚的离线梯度方法的收敛性