recurrent network

The predictive controller is made of diagonal recurrent neural network predictive controller ( DRNPC) and feed forward neural network steady state compensator ( FNC).

预测控制器由对角递归神经网络预测控制器和前向神经网络静态补偿器组成。

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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

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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

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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。

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Dynamical recurrent least square algorithm with forgetting factor is presented to train network parameters.

针对对角回归结构，推导出带遗忘因子的动态递推最小二乘法对网络的参数进行训练。

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Nonlinear Dynamic Compensation of Sensors Based on Recurrent Neural Network Model

基于递归神经网络模型的传感器非线性动态补偿

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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

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The network was compared with recurrent neural network ( RNN) by predicting exhaust gas temperature ( EGT).

分别利用递归神经网络和双隐层过程神经网络对发动机排气温度裕度进行仿真预测。

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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。

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A three-layer simple recurrent neural network model is proposed to accurately predict the quality of wastewater in the oxic and anoxic reactors. The individual fractional errors are 2.86%, 4.99% and 4.2%.

本文建立了一个三层递归神经网络模型，对一级好氧、二级好氧、缺氧反应器的主要水质指标实现了准确预测，预报平均相对误差分别为2.86%、4.99%、4.2%。

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Internal Model Control Based on Recurrent Neural Network for Jigger Layer Loose Condition

跳汰机床层松散状况递归神经网络内模控制

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The method of dynamic compensation based on recurrent neural network to correct the thermocouple temperature sensor's error is introduced and the dynamic compensation of temperature sensor is realized by building sensor's dynamic inverse modle.

提出了一种基于递归神经网络的热电偶测温滞后的动态补偿方法，利用神经网络良好的非线性映射能力，建立传感器的动态逆模型，实现对传感器的动态补偿。

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This paper presents a Time-Delay Recurrent Neural Network ( TDRNN) for exo-atmospheric ballistic space infrared target discrimination.

该文提出一种基于时延回归神经网络（TDRNN）的大气层外弹道式空间红外目标识别方法。

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