The filter architecture proposed is constructed by use of a canonical FLF (FollowtheLeader Feedback) configuration with an output summation CC network.
该结构是在典型FLF结构的基础上增加输出求和CC网络生成的。
It is composed of a hybrid locally connected recurrent network with an activation feedback and an output feedback respectively in the hidden layer.
该网络控制器的隐含层由带有输出反馈和激活反馈的混合局部连接递归网络组成。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
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