recurrent network的例句大全

Structure Design of TSK network: an Local Recurrent Network Based on Quadric Operation

TSK网络结构设计：一个基于二阶运算的局部反馈网络

An Experimental Circuit Design Using a Recurrent Network to Simulate Uniform Transmission Line

用链型网络模拟均匀线实验电路的设计

Soft sensing model of viscosity based on diagonal recurrent network

基于对角递归神经网络的粘度软测量模型

As a kind of recurrent neural network, diagonal recurrent neural network ( DRNN) is easy to implement, but also adapt to time-variation.

在递归神经网络中，对角递归神经网络（Diagonal Recurrent Neural Network，DRNN）可以更直接的反映系统的动态特性，简单易实现，又有适应时变特性的能力。

Locally recurrent neural network controller and its application

局部递归神经网络控制器及其应用

Data Reconciliation for Dynamic Process Based on Recurrent Neural Network

反馈神经网络在动态过程数据校正中的应用

A locally recurrent neural network controller based on neural network is proposed.

基于人工神经网络提出了一种局部递归神经网络控制器。

The reinforcement learning method is used in Agent learning, the TS type recurrent fuzzy neural network ( TSRFNN) is employed to realize the actor-critic elements. The agents in system are optimized coordinately by using the distributed learning algorithm.

在控制Agent中采用Actor-critic强化学习方法，运用TS回归模糊神经网络实现行动和评判模块，使用分布式学习算法对多个Agent协调优化。

Recurrent neural network is more suitable for nonlinear dynamic system identification because of its unique feedback characteristics.

递归神经网络因其特有的反馈特性更适用于非线性动态系统辨识。

Simulated results show that the proposed algorithms not only realize fully automatic optimization design for the dynamic recurrent neural network, but also improve convergent accuracy for the model identification. And this method can provide a new approach to nonlinear dynamic system identification.

模拟结果表明，提出的算法不仅实现了动态递归网络的全自动优化设计，而且明显提高了动态递归网络模型辨识算法的收敛精度，为非线性系统辨识提供了一条新的途径。

A Fast Parallel Algorithm for a Recurrent Neural Network

一种递归神经网络的快速并行算法

Study on a Quasi-Diagonal Recurrent Neural Network and Its Algorithm

准对角递归神经网络及其算法的研究

The Correction to the Algorithm of Diagonal Recurrent Neural Network

对一种递归神经网络算法的修正

Research on Identification of Dynamic System Based on T-S Recurrent Fuzzy Neural Network

一种递归型模糊神经网络用于动态系统辨识的研究

Modeling and Application Based on Dynamic Recurrent Neural Network Trained with Genetic Algorithm

基于遗传算法的动态神经网络的建模与应用

The algorithm speeds up network study train, compared with the Real-time Recurrent Learning algorithm consumedly, and increases the accuracy of prediction.

与已有的实时循环学习算法相比，极大的提高了网络学习训练的速度，并且提高了预测的精度。

This thesis makes use of data with similar time features to calibrate state transition parameter throughout citing Kalman filter. Thirdly, based on comparing different fusion methods, the thesis choose diagonal recurrent neural network to fuse section travel time from multi-source.

再次，在对融合方法比较基础上，选择对角回归神经网络对多源路段行程时间进行融合。

Identification of nonlinear based on high order diagnoal recurrent neural network

高阶对称循环神经网络的非线性辨识

Aircraft target recognition based on radar range profile sequences using recurrent neural network

基于雷达距离象序列的循环神经网络飞机目标识别

Recurrent Neural Network Modeling and Its Application in Nonlinear Predictive Control

循环神经网络建模在非线性预测控制中的应用