recurrent neural Networks的意思|示意
递归神经网络
recurrent neural Networks的网络常见释义
循环神经网络 什么是RNN RNN全称循环神经网络（Recurrent Neural Networks），是用来处理序列数据的。在传统的神经网络模型中，从输入层到隐含层再到输出层，层与层之间是全连接的，每层之间的节点是无连接...
神经网络 2 递归神经网络 递归神经网络(Recurrent Neural Networks，RNN) 是一种常见的神经网络 [3] ，在RNN中每个神经元都 第2 期 徐 戎: 一种改进的递归神经网络...
recurrent neural Networks相关短语
1、 Bidirectional Recurrent Neural Networks 论文双向循环神经网络
2、 Batch Normalized Recurrent Neural Networks 论文使用分批标准化的循环神经网络
3、 Elman recurrent neural networks Elman型回馈神经网络
recurrent neural Networks相关例句
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。
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 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。
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。
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。
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。