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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
Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, People's Republic of China Department of Mathematics, Dalian Maritime University, Dalian 116026, People's Republic of China;
Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, People's Republic of China;
feedforward neural networks; linear output; online gradient method; penalty; boundedness; convergence;
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:两层前馈神经网络在线梯度法的有界性和收敛性分析
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
机译:批量梯度法具有额外的馈送神经网络罚分的界限
机译:基于前馈神经网络的仪器的校准传递方法。
机译:基于混沌注入的梯度法训练前馈神经网络的确定性收敛性
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