self recurrent neural network 自回归神经网络
The learning algorithms for self-recurrent neural network(SRNN) with multiple output nodes are deduced. Based on Lyapunov function,adaptive learning rates are developed to guarantee convergence.
推导了多输出自递归神经网络的学习算法,并基于Lyapunov函数得到保证网络快速收敛的自适应学习率。
参考来源 - 自递归神经网络预测结构响应The learning algorithms for self-recurrent neural network(SRNN) with multiple output nodes are deduced. Based on Lyapunov function,adaptive learning rates are developed to guarantee convergence.
推导了多输出自递归神经网络的学习算法,并基于Lyapunov函数得到保证网络快速收敛的自适应学习率。
参考来源 - 自递归神经网络预测结构响应·2,447,543篇论文数据，部分数据来源于NoteExpress
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