机译:基于终端吸引子的前馈神经网络学习训练算法的改进
Platform Technologies Research Institute, RMIT University, Melbourne, VIC 3001, Australia,School of Automation, Southeast University, Nanjing, China;
School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001, Australia;
School of Information Technology, National University of Mongolia, Ulaanbaatar, Mongolia;
School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001, Australia;
Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia;
feedforward neural network; terminal attractor; back-propagation; training; optimization;
机译:CAST:用于提高多层前馈神经网络学习率的恒定自适应跳过训练算法
机译:CAST:一种用于提高多层前馈神经网络学习率的恒定自适应跳过训练算法
机译:基于邻域的改进后向传播算法,自适应学习参数训练前馈神经网络
机译:前馈神经网络的基于终端吸引子的反向传播学习
机译:神经网络的学习算法和基于神经网络的主动减振器的开发。
机译:没有反馈的学习:固定随机学习信号允许深神经网络的前馈训练
机译:前馈和递归神经网络的培训问题和学习算法
机译:前馈神经网络的替代学习算法