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rbf模糊神经网络
相关语句
  rbf fuzzy neural network
     A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
     提出了一种基于人工免疫原理的最优RBF模糊神经网络控制器设计方案.
短句来源
     The structure of the controller is given, then the immune evolutionary algorithm is used to optimize the parameters of the controller to design an optimal RBF fuzzy neural network controller that satisfies quadratic performance index.
     首先给出了控制器结构,其次将免疫进化算法用于控制器参数的优化,设计了一种满足二次型性能指标的最优RBF模糊神经网络控制器.
短句来源
     The controller of RBF fuzzy neural network can obtain optimal rule of control by on-line optimization using some information that the predictive network offers and beforehand designing goal function.
     通过试验和仿真验证,基于RBF模糊神经网络的建模算法可以对暖通空调准确建模;
短句来源
     For the multi variable nonlinear system such as the collection pressure of coke ovens, this paper proposes an multi variable decoupling control algorithm based on a PID neural network and RBF fuzzy neural network, the RBF fuzzy neural network responds for the decoupling of the plant and PID neural network responds the dynamical property of plant output.
     针对焦炉集气管压力这类多变量非线性系统 ,提出了一种基于 PID神经网络和 RBF模糊神经网络的多变量解耦控制方案 ,RBF模糊神经网络对多变量对象进行解耦 ,PID神经网络控制器控制过程的动态特性 .
短句来源
  “rbf模糊神经网络”译为未确定词的双语例句
     Generalized predictive Control using a RBF Neuro-fuzzy Modol
     基于RBF模糊神经网络模型的广义预测控制
短句来源
     Research on the RBF Fuzzy-Neural Network and Application on the Unit Coordination Control System
     RBF模糊神经网络的研究及其在单元机组协调控制系统中的应用
短句来源
     We adjust parameters by RBF fuzzy neuro network togenerate complete the fuzzy rule bases.
     使用改进的FCM算法生成初始的模糊规则库,在此基础上使用RBF模糊神经网络来进行参数调整进而生成完善的模糊规则库。
短句来源
     According to HVAC characters of nonlinearity> time-variety and so on, the thesis adopts method basing on radial basic function (RBF) fuzzy neural network to build dynamic model of HVAC. The dynamic model of HVAC can adapt to variety of run environment and disturbances action, and satisfy demands of HVAC control algorithm and optimization of HVAC system.
     根据暖通空调非线性、时变性等特点,本文采用基于RBF模糊神经网络的暖通空调建模方法,使建立的暖通空调动态模型能适应工况环境的变化和干扰的作用,为暖通空调的高级控制算法、系统优化提供了准确的模型;
短句来源
     The combinatorial forms of several fuzzy-neural networks with different structures are analyzed. The direct fuzzy-neuron network (FNN), B-spline function network、 RBFNN and some extending fuzzy-neural networks applications in FDD are studied.
     对直接模糊神经网络、B样条模糊神经网络、RBF模糊神经网络以及几种扩展的模糊神经网络在故障中的应用进行了讨论。
短句来源
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  相似匹配句对
     RBF Neural Network Algorithm Based on the Fuzzy Clustering
     基于模糊聚类的RBF神经网络算法
短句来源
     A Study of the T S Fuzzy RBF Neural Network
     T-S型模糊RBF神经网络的结构研究
短句来源
     Nonlinear Filtering Based Fuzzy RBF Neural Network
     基于模糊RBF神经网络的非线性滤波
短句来源
     Fuzzy RBF Neural Network Based Function Approximation
     基于模糊RBF神经网络的函数逼近
短句来源
     A Review of Fuzzy Neural Networks
     模糊神经网络研究
短句来源
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Generalized predictive control has well control effectiveness to linear systems. In order to extend it to nonlinear systems, this paper proposes a method combining RBF neurofuzzy network and generalized predictive control. The simulation certifies that the control is in effect.

广义预测控制对线性系统具有较好的控制效果 ,为将它应用到非线性系统 ,本文提出一种将 RBF模糊神经网络与广义预测控制相结合的方法 ,仿真证明控制有效。

For the multi variable nonlinear system such as the collection pressure of coke ovens, this paper proposes an multi variable decoupling control algorithm based on a PID neural network and RBF fuzzy neural network, the RBF fuzzy neural network responds for the decoupling of the plant and PID neural network responds the dynamical property of plant output. The real world application shows that the proposed control strategy successfully solved the process control problem of the complex plant such as the collection...

For the multi variable nonlinear system such as the collection pressure of coke ovens, this paper proposes an multi variable decoupling control algorithm based on a PID neural network and RBF fuzzy neural network, the RBF fuzzy neural network responds for the decoupling of the plant and PID neural network responds the dynamical property of plant output. The real world application shows that the proposed control strategy successfully solved the process control problem of the complex plant such as the collection pressure of coke ovens.

针对焦炉集气管压力这类多变量非线性系统 ,提出了一种基于 PID神经网络和 RBF模糊神经网络的多变量解耦控制方案 ,RBF模糊神经网络对多变量对象进行解耦 ,PID神经网络控制器控制过程的动态特性 .工程应用表明 ,提出的控制策略有效地解决了集气管压力这类复杂对象的过程控制问题

A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle. The structure of the controller is given, then the immune evolutionary algorithm is used to optimize the parameters of the controller to design an optimal RBF fuzzy neural network controller that satisfies quadratic performance index. The designed controller is employed to control an actual inverted pendulum system, and the scheme of state variable synthesis is used to reduce the number of fuzzy rules...

A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle. The structure of the controller is given, then the immune evolutionary algorithm is used to optimize the parameters of the controller to design an optimal RBF fuzzy neural network controller that satisfies quadratic performance index. The designed controller is employed to control an actual inverted pendulum system, and the scheme of state variable synthesis is used to reduce the number of fuzzy rules greatly. Experiment results has verified the effectiveness of the designed controller.

提出了一种基于人工免疫原理的最优RBF模糊神经网络控制器设计方案.首先给出了控制器结构,其次将免疫进化算法用于控制器参数的优化,设计了一种满足二次型性能指标的最优RBF模糊神经网络控制器.将该控制器用于控制实际倒立摆系统,并采用状态变量合成方法以大大减少模糊规则的数目,实验结果验证了该控制器的有效性.

 
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