A new blind equalization algorithm based on diagonal recurrent neural networks (DRNN) is proposed.
提出了一种基于对角递归神经网络的盲均衡算法。
An approach to compensating sensor drift based on recurrent neural networks is discussed in the paper.
本文讨论了一种基于循环神经网络的传感器补偿新方法。
The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.
实验结果表明，递归神经网络用于飞机目标识别是有效可行的。
The problem of the globally asymptotical stability of recurrent neural networks with time varying delay is investigated.
研究了带时变时滞的递归神经网络的全局渐近稳定性。
The almost surely exponential stability of stochastic recurrent neural networks with time-varying delays is investigated.
研究了一类随机变时滞递归神经网络的几乎指数稳定性问题。
Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。
An analysis is made in the paper about the computing method of the recurrent neural networks that has the characteristic of oblivion and the ability of information latching.
分析了具有遗忘特性及信息锁存能力的状态回归神经网络的计算方法。
Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied.
研究了一类具有连续分布延时的反馈神经网络模型的周期解的存在性和全局稳定性。
This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor.
提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现AT M网络自适应拥塞控制的模型。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
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