模糊递归神经网络,fuzzy recurrent neural network
1)fuzzy recurrent neural network模糊递归神经网络
1.A multi-objective optimization based dynamicfuzzy recurrent neural network(FRNN)modeling method was designed to control the pH neutralization process by generalized predictive controller(GPC).设计了一种基于多目标的动态模糊递归神经网络(FRNN)建模方法,用于pH中和过程的广义预测控制。
2.The model dynamically sets the target temperature at the surface of slabs with support vector machine,forecasts the surface temperature of slabs with diagonal recurrent neural network,and dynamically controls and distributes the water flow of secondary cooling with T-Sfuzzy recurrent neural network.该模型采用支持向量机(SVM)实现板坯表面目标温度的动态设定,采用对角递归神经网络(DRNN)实现板坯表面温度的预测,采用T-S模糊递归神经网络实现二次冷却水动态调整与分配。
2)Recurrent fuzzy neural network递归模糊神经网络
1.Recurrent Fuzzy Neural Network Variable Structure Position Controller Based on Vector Control of PMLSM;采用递归模糊神经网络的永磁直线同步电机变结构控制
2.A kind of recurrent fuzzy neural network(RFNN) is constructed,in which,recurrent neural network is used to realize fuzzy inference and temporal relations are embedded in the network by adding feedback connections on the first layer of the network.构造了一种递归模糊神经网络(RFNN),该RFNN利用递归神经网络实现模糊推理,并通过在网络的第一层添加了反馈连接,使网络具有了动态信息处理能力。
3.A variable-structure control of a permanent magnet linear synchronous motor(PMLSM) servo-drive system using a recurrent fuzzy neural network was put forward to solve the problem of poor control precision in the servo system of packaging binding machine.根据裹包机的驱动系统控制精度较差的问题,提出采用应用递归模糊神经网络变结构控制线性同步电动机伺服系统,经过仿真,结果表明,该控制系统克服了上述缺点。
英文短句/例句
1.Dynamic T-S Recurrent Fuzzy Neural Networks and Its Application动态T-S递归模糊神经网络及其应用
2.The Study of Blind Equalization Algorithm Based on Recursive Fuzzy Neural Network;基于递归模糊神经网络理论盲均衡算法的研究
3.Study on Identification by Dynamic Recurrent Fuzzy Neural Networks and Robust Control for Electro-hydraulic Servo System;电液伺服系统的动态递归模糊神经网络辨识与鲁棒控制研究
4.Recurrent Fuzzy Neural Network Variable Structure Position Controller Based on Vector Control of PMLSM;采用递归模糊神经网络的永磁直线同步电机变结构控制
5.Design of Position Control of Brushless DC Motor Servo System Based on TSK-type Recurrent Fuzzy Neural Network一种基于TSK型递归模糊神经网络的无刷直流电动机位置控制方法仿真
6.Continuous Attractors and Fuzzy Control of Recurrent Neural Networks递归神经网络的连续吸引子与模糊控制
7.Study on Recurrent Algorithm of a Type of Compound Fuzzy Neural Network and Its Application;一类复合型模糊神经网络的递归算法研究及应用
8.A New Dynamical Recurrent-Intuitionistic Fuzzy Neural Network and Its Learning Algorithm一种新型的动态递归-直觉模糊神经网络及其学习算法
9.Stability Analysis of a Class of Recurrent Neural Network Model;一类递归神经网络模型的稳定性研究
10.Application of Recurrent Neural Network with Fuzzy Optimum Selection to Hydropower Investment Projects;模糊优选递归神经网络模型及其在水利水电投资项目评价中的应用
11.Short-term Load Forecasting Model Based on Optimized Dynamic Recurrent Wavelet Neural Network优化动态递归小波神经网络短期负荷预测模型
C Machine X-Y Table Control of Robust Recurrent-Neural-Network Sliding-Mode鲁棒滑模递归神经网络CNC机X-Y平面控制
13.Methods of Neural Network on Transitive Closure of Fuzzy;模糊自反矩阵传递闭包的神经网络方法
14.The Application of Fuzzy Control Model and Recurrent Neural Network Model in Neutralization Process Control;基于模糊算法的前馈控制和递归神经网络的反馈控制在中和过程控制中的应用
15.Open-loop Subband Active Noise Control Using Fussy Normalized Neural Network基于模糊归一化神经网络的开环子带主动消噪
16.Study on Stability of Recurrent Neural Networks with Perturbation;扰动作用下递归神经网络稳定性研究
17.The Study on Recurren Neural Network Blind Equalization Algorithm;基于递归神经网络盲均衡算法的研究
18.Convergence of Gradient Method for Recurrent Neural Networks递归神经网络梯度学习算法的收敛性
相关短句/例句
Recurrent fuzzy neural network递归模糊神经网络
1.Recurrent Fuzzy Neural Network Variable Structure Position Controller Based on Vector Control of PMLSM;采用递归模糊神经网络的永磁直线同步电机变结构控制
2.A kind of recurrent fuzzy neural network(RFNN) is constructed,in which,recurrent neural network is used to realize fuzzy inference and temporal relations are embedded in the network by adding feedback connections on the first layer of the network.构造了一种递归模糊神经网络(RFNN),该RFNN利用递归神经网络实现模糊推理,并通过在网络的第一层添加了反馈连接,使网络具有了动态信息处理能力。
3.A variable-structure control of a permanent magnet linear synchronous motor(PMLSM) servo-drive system using a recurrent fuzzy neural network was put forward to solve the problem of poor control precision in the servo system of packaging binding machine.根据裹包机的驱动系统控制精度较差的问题,提出采用应用递归模糊神经网络变结构控制线性同步电动机伺服系统,经过仿真,结果表明,该控制系统克服了上述缺点。
3)recurrent compensatory fuzzy-neuro network递归补偿模糊神经网络
4)recursion T-S fuzzy neural network递归T-S模糊神经网络
5)dynamic recurrent fuzzy neural network动态递归模糊神经网络
1.A noveldynamic recurrent fuzzy neural network is presented in this paper, and its dynamic back propagation algorithm is formulated according its mathematic models.提出了一种新型的动态递归模糊神经网络,并根据动态递归神经网络的数学模型推导出其动态反向传播学习算法,仿真结果表明对于动态系统的辨识,动态递归模糊神经网络较传统模糊神经网络在辨识精度和稳定性方面具有更好的效果。
6)TSK-type recurrent fuzzy neural networkTSK型递归模糊神经网络
1.It usesTSK-type recurrent fuzzy neural network.该方法中使用了一种TSK型递归模糊神经网络,可同时动态在线进行结构学习和参数学习,以提高位置控制静态精度和动态跟踪性能,仿真结果表明,所设计的TSK型模糊神经网络位置控制器响应速度快,跟踪性能好,输出精度高,动、静态特性优于传统PID。
延伸阅读
模糊1.亦作"模胡"。 2.不分明;不清楚。 3.谓草率，马虎。 4.混淆。
